The proposed method improves the salp swarm and the sine-cosine algorithms using an MOP technique. R. Optimization 1. . Rehab Ali Ibrahim Apr 9, 2019 The proposed method improves the salp swarm and the sine-cosine algorithms using an MOP technique. Moridi and F. Khoriba, M. E. Improved monarch butterfly optimization for unconstrained global search and neural network training . benchmark engineering optim function genetic algorithm global optimization grey wolf optimizer heuristic metaheuristic optimality optimisation optimization optimum particle swarm op problem solving salp swarm algorithm ssa In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. + Get Free Shipping on books over $25! A Comparative Sti. It is a highly interdisciplinary topic. Impact Factor 2019: 1. This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. Chaotic mapping and elite opposition-based learning strategies (EOBL) are used to improve the randomness of the initial population. Classification is one of the most common tasks in data mining (Yin and Gai, 2015). The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. Salp Swarm Algorithm to Minimize Functions with Continuous Variables - Valdecy/Metaheuristic-Salp_Swarm_Algorithm Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven by the simulation behavior of salps. Please sign up to review new features, functionality and page designs. Improved salp swarm algorithm based on particle swarm optimization for feature selection Feature selection (FS) is a machine learning process… Sigue leyendo → Publicado en: Evolutionary , Hybrid Optimization Algorithm , Machine Learning , Sin categoría Archivado por: Algorithms , Evolutionary , Evolutionary Algorithms , Feature Selection algorithm that mimics the special swarming behavior of salps in the sea. Improved salp swarm algorithm based on particle swarm optimization for feature selection 1 3 Fig. will be updated during optimization because the salp chain is very likely to find a better solution by Dec 1, 2017 A novel optimization algorithm called Salp Swarm Optimizer (SSA) is that the SSA algorithm is able to improve the initial random solutions Apr 15, 2018 Keywords: Metaheuristics, Salp Swarm Algorithm, Feature Selection, Wrapper Model, in high-dimensional data to improve the predictive. Review of some Constrained Optimization Schemes Weighted Salp Swarm Algorithm and Its Applications Towards Optimal Sensor Deployment Elsevier ScienceDirect (Journal of King Saud University - Computer and Information Sciences) July 13, 2019. Improved Feedforward Neural Networks Using PSOGSA The multi-objective version of the Salp Swarm Algorithm (SSA) Grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the swarming behavior of grasshoppers. Figure1:aSingleSalp(atleft)andaSalpchain(atright)[20], modified. The water is pushed salps bodies to progress[16]. 11(6), pages 1-30, June. Improved salp swarm algorithm for feature selection 1. 4. Particle swarm optimization Particle swarm optimization (PSO) is accepted as the second population-based algorithm inspired from animals. 3 (2015) 1–10 (in Persian). The SCA works by using a local search approach to To obtain reduced power loss, voltage deviation and improved bus voltage stability Salp swarm algorithm; Optimal DG allocation; Capacitor banks; Distributed Dec 1, 2017 This work proposes two novel optimization algorithms called Salp show that the SSA algorithm is able to improve the initial random solutions Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems SSA algorithm is able to improve the initial random solutions effectively and Social-spider optimization algorithm for improving ANFIS to predict biochar yield Improved salp swarm algorithm based on particle swarm optimization for [32], selfish herd optimization (SHO) [33], and salp swarm optimization (SSO) [34] . Salps are part of Salpidae family with the limpidcylinder-design body, they look jellyfishes in texture and like movement. The efficiency of a vertical axis wind turbine (VAWT) can be improved by placing a shield or deflector upstream of the turbine to reduce the negative torque on the blade. DOAJ is an online directory that indexes and provides access to quality open access, peer-reviewed journals. Article (PDF Available) in Journal of Ambient Request PDF on ResearchGate | Salp Swarm Algorithm: A bio-inspired that the SSA algorithm is able to improve the initial random solutions effectively and In deep oceans, salps often form a swarm called salp chain. The water is pushed Salps bodies to move forward . Introduction. The algorithm dynamically evaluates the optimum number of controllers and the optimal connections between switches and controllers in large scale SDN networks. Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Fish image segmentation can be considered an essential process in developing a system for fish recognition. Khishe, A. In this paper, the most discriminating features were selected by a new Chaotic Dragonfly Algorithm (CDA) where chaotic maps embedded with searching iterations of the Dragonfly Algorithm (DA). To verify the performance of the proposed algorithm, it is tested over two experimental series, in the first one, it is compared with other similar approaches using benchmark functions. They look like jellyfishes in texture and movement. FS can be formulated as an optimization problem. An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems - Download as PDF File (. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence MATLAB Central contributions by Seyedali Mirjalili. We're upgrading the ACM DL, and would like your input. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence Regarding the nature and complexity of the employed non-algebraic equations in the optimization problem for achieving the optimal angle in the multi-level inverter, a recent developed meta-heuristic method known as Salp Swarm Algorithm (SSA) is presented. Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid PC Sahu, S Mishra, RC Prusty, S Panda Sustainable Energy, Grids and Networks 16, 380-392 , 2018 Seyedali Mirjalili is recognised for his advances in Swarm Intelligence (SI) and optimisation, including the first set of Swarm Intelligence techniques from a synthetic intelligence standpoint - a radical departure from how natural systems are typically understood - and a systematic design framework to reliably benchmark, evaluate, and propose computationally cheap robust optimisation algorithms. Salimi, Stochastic fractal search: A powerful metaheuristic algorithm, Knowledge-Based Sys. A Simplex Method-Based Salp Swarm Algorithm for Numerical and Engineering Optimization. The first salp is denoted as the leader, while the others are followers. However, similar to most of the meta-heuristic algorithms, it suffered from stagnation in local optima and low convergence rate. Sep 25, 2018 salp swarm algorithm; renewable generators; shunt capacitors; MOFI; By tradition, loss decreases and voltage profile improvement have Dec 5, 2017 Feature selection, Salp Swarm Algorithm, Particle Swarm. Makhlouf. III. A fuzzy rule-based generation algorithm in interval type-2 fuzzy logic system for fault prediction in the early phase of software development Improved salp swarm Regarding the nature and complexity of the employed non-algebraic equations in the optimization problem for achieving the optimal angle in the multi-level inverter, a recent developed meta-heuristic method known as Salp Swarm Algorithm (SSA) is presented. The chain of salps is separated into two groups which are leader and followers. Applying for feature selection improves classification. In the mathematical model of the SSA, location of the leader salp should be updated by Eq. Salps compose a swarm in profound oceans; this swarm named salp chain. This paper presents a fuzzy-based modified particle swarm optimization (fuzzy-based MPSO) algorithm An improved maximum power point tracking method based on decreasing torque gain for large scale wind turbines at low wind sites Salp swarm algorithm-based optimal This article presents a novel application of a very recent heuristic-based on technique, namely Salp Swarm Optimizer (SSO) to define the best values of unknown parameters of PEMFC model. The salps are creatures living in seas and oceans. Salps usually live is groups and they often form a swarm called salp chain. Hossam Faris, Ibrahim Aljarah and Ja'far Alqatawna, “Optimizing Feedforward Neural Networks Using Krill Herd Algorithm for E-mail Spam Detection”, IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan, November 2015. Feature selection is playing a significant role in any classification task. Mosavi, M. The proposed algorithm is called by improved particle optimization with new swap operator (IPSONSO). ca, Canada's largest bookstore. An Improved Glowworm Swarm Optimization Algorithm Based on Parallel Hybrid This is the second half of a two part series devoted to the tabu search metastrategy for optimization problems. Eberhart simulated the bird locking and ish schooling foraging behaviors, they have used this simula- Contents Preface. Gandomi, Seyedeh Zahra Mirjalili, Shahrzad Saremi, Hossam Faris, Seyed Mohammad Mirjalili, “ Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems”, Advances in Engineering Software, pp. Related work. 75 (2015) 1–18. Salps are usually found in groups (Swarms) called Salp chains; each salp chain contains a leader and a set of followers as shown in Fig 1. "A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting," Energies, MDPI, Open Access Journal, vol. Swarm behaviour, or swarming, is a collective behaviour exhibited by entities, particularly animals, of similar size which aggregate together, perhaps milling about the same spot or perhaps moving en masse or migrating in some direction. In SSA (salp swarm algorithm), the position of each salp can be mathematically represented. They are similar to Jellyfishes in their tissues and movement towards the food sources [15]. Each particle's movement is influenced by its local best known MATLAB Central contributions by Seyedali Mirjalili. Hegazy , M. M. It was inspired by the swarming behavior of salps when navigating and foraging in the ocean. In the improved particle filter algorithm, the resampled particles will be driven to the region with high likelihood function to increase the weight values of the particles. Improved salp swarm algorithm based on weight factor and adaptive mutation. Journal of King Saud University - Computer and Information Sciences, 2018. Despite high performance of SSA, slow convergence speed and getting stuck in local optima are two disadvantages of SSA. H. 5: Jiyang Wang & Yuyang Gao & Xuejun Chen, 2018. Published Research All items. Thus, the estimated state is closer to the real state. Multilevel Maximum Power Point Tracking for Partially Shaded Photovoltaic System Using Salp Swarm Algorithm. Optimal Allocation of Renewable Distributed Generation and Capacitor Banks in Distribution Systems using Salp Swarm Algorithm Recent advances in power generation technologies using renewable energy resources, changes in utility infrastructure and government policies tend to increase the interest in a renewable-based distributed generation units (DGs) in a distribution system. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Marine Tech. 5. A new Ensemble Empirical Mode Decomposition (EEMD) is presented. Improved salp swarm algorithm based on particle swarm optimization for feature selection Feature selection (FS) is a machine learning process… Sigue leyendo → Publicado en: Evolutionary , Hybrid Optimization Algorithm , Machine Learning , Sin categoría Archivado por: Algorithms , Evolutionary , Evolutionary Algorithms , Feature Selection , Machine learning , Metaheuristic , Particle Swarm Optimization , Salp Swarm , Springer For solving the problem shown in BSA, this article proposes an improved BSA named COBSA. The shape of a salp is shown below: Salp swarm algorithm (SSA) is a recently created bio-inspired optimization algorithm presented in 2017 which is based on the swarming mechanism of salps. They also move very similar to jelly fish, in which the water is pumped through body as propulsion to move forward [1]. 1–29, 2017. An improved emission inventory method for estimating 2. ix Chapter 1. benchmark engineering optim function genetic algorithm global optimization grey wolf optimizer heuristic metaheuristic optimality optimisation optimization optimum particle swarm op problem solving salp swarm algorithm ssa Examples in natural systems of SI include ant colonies, bird flocking, animal herding, bacterial growth, fish schooling and microbial intelligence. Bio-inspired optimization algorithms have been widely applied to solve many optimization problems including the feature selection problem. leader always stays at the ﬁrst position of the chain to decide the moving direction of the swarm, while all the other salps act as the followers to execute the command. 1 - Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect (2019). The present study introduces chaos theory into the optimization process of GOA so as to accelerate its global convergence speed. 3. Basically, the leader’s position in the mth salp rithm that is based on the Salp Swarm Optimization Algorithm (SSOA) is developed with the introduction of chaotic maps for enhancing the optimizer’s performance. An improved computational framework based on the dual boundary element method for three-dimensional mixed-mode crack propagation analyses - Open access gorithms such as genetic algorithm (GA), cuckoo search (CS), gravitational search algorithm (GSA), butterﬂy opti- mization algorithm (BOA), particle swarm optimization The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. An improved particle swarm optimizer for mechanical design optimization problems. Metaheuristic algorithms have shown superior performance in solving this type of problems. Recently, a new meta-heuristic method called the Salp Swarm Algorithm (SSA) has been proposed to solve optimization problems. However, previous studies mainly focused on fixed shields or deflectors, and the performance of the VAWT was significantly affected by the wind direction. That is, an improved artificial fish swarm optimization algorithm is used to optimize the traditional particle filter. Salp Swarm Algorithm (SSA) is a novel swarm intelligent algorithm with good performance. Haggag, A novel chaotic salp swarm algorithm for global optimization and. Improved salp swarm algorithm based on weight factor and adaptive mutation In order to solve the problem of low optimisation performance and premature convergence shown in SSA, an improved algorithm called WASSA in combination with the above two sections is presented in this paper. txt) or read online. Improved salp swarm algorithm based on particle swarm optimization for feature selection Feature selection (FS) is a machine learning process… Sigue leyendo → Publicado en: Evolutionary , Hybrid Optimization Algorithm , Machine Learning , Sin categoría Archivado por: Algorithms , Evolutionary , Evolutionary Algorithms , Feature Selection , Machine learning , Metaheuristic , Particle Swarm Optimization , Salp Swarm , Springer Levy-Flight Salp Swarm Algorithm for Function Optimization and Engineering Design Problems Anton Sudirman1 Ahmad Belva Savero Ergaputra2 The Salp Swarm Algorithm (SSA) algorithm is a bio-inspired optimizer. However, like other swarm-based algorithms, it has Nov 19, 2018 Improved salp swarm algorithm based on particle swarm optimization for feature selection. Their tissues are highly similar to jelly fishes. The SCA works by using a local search approach to improve the performance of traditional SSA by avoiding trapping in a local optimal solution and by increasing convergence speed. SSA is one of the random population-based The hybridization between both approaches creates an algorithm called SSAPSO, in which the efficacy of the exploration and the exploitation steps is improved. Salps are part of Salpidae family with the limpid cylinder design body. 637 The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research Nov 12, 2018 The new method known as improved salp swarm algorithm (ISSA) is tested in feature selection task. Enlightened by particle swarm optimization (PSO) algorithm, population control factor is added to the variation equation aiming to improve the convergence speed of BSA, so as to make algorithm have a better ability of escaping the local optimum. A new binary salp swarm algorithm: development and application for optimization tasks. 2 - Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractional optimizer (2019). This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. Generally, the biological research about Salps is still in its early stages because their living environments are hardly accessible, and it is very difficult to keep them in laboratory environment. The ISSA algorithm is consolidated with Firstly, the enhanced salp swarm algorithm (ESSA) is proposed to improve the inadequate results of the SSA compared to the other algorithms, especially for the Sep 11, 2018 Improved salp swarm algorithm based on particle swarm optimization for feature selection. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and Improved salp swarm algorithm for feature selection. Salps swarming attitude is the main inspiration to build Salp Swarm Algorithm[13]. Ai-ming at the phenomenon that Salp Swarm Algorithm has slow convergence and low precision, an improved version of SSA algorithm based on Salp swarm algorithm (SSA) (Cont. An improved heat transfer search algorithm for unconstrained optimization problems. (Improved Seeding Particle Swarm Optimization GLOBAL) method which G. A. Salp Swarm Algorithm: A Seyedali Mirjalili, Amir H. Recently, chaos theory has been successfully applied to solve these problems. The shape of a Salp is shown in Figure 1(a). Google Scholar; 42. This book presents the proceedings of the fifth International Symposium on Modelling and Implementation of Complex Systems (MISC 2018) held in Laghouat, Algeria, during December 16–18, 2018 and addresses several topics related to theory and applications of networking and distributed computing An Improved Glowworm Swarm Optimization Algorithm Based on Parallel Hybrid Mutation Zhonghua Tang, Yongquan Zhou, Xin Chen. pdf), Text File (. algorithms Article An Improved Multiobjective Particle Swarm Optimization Based on Culture Algorithms Chunhua Jia * and Hong Zhu School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611371, Recently published articles from Advances in Engineering Software. In order to overcome this problem, an modified Dragonfly algorithm (MDA) is proposed to determine the optimal combination of different levels of thresholds for color images. Methods. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The swarm intelligence algorithm presented in this study is adapted to address these particular tasks and its functionality is investigated by running the swarms on sample CT images and X-rays whose status have been determined by senior radiologists. Authors; Authors and affiliations. A novel optimal replication allocation strategy for particle swarm Asynchronous accelerating multi-leader salp An improved water flow-like algorithm for [0250] This hypothesis goes well beyond the already-common recognition of the biological metaphors used in a Genetic Algorithm (GA), which cherry-picks the evolutionary processes at a chromosomal level, to introduce a broader evolutionary algorithm (EA) paradigm (which includes GA as a specific, limited instance). However, like other swarm-based algorithms, it has insufficiencies of low convergence precision and slow convergence speed when dealing with high-dimensional complex optimisation problems. Information about the open-access journal Journal of Operation and Automation in Power Engineering in DOAJ. It also influences the realization of shortest path problem (SPP) because of its essential fuzziness. Bibliographic content of Advances in Engineering Software, Volume 114 Bibliographic content of Advances in Engineering Software, Volume 114 An efficient binary salp swarm algorithm with crossover scheme for feature selection problems H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’M, S Mirjalili, H Fujita Knowledge-Based Systems 154, 43-67 , 2018 Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems Advances in Engineering Software - Elsevier January 1, 2017. In this work, a chaotic version of Salp Swarm Algorithm (SSA) is proposed, which is considered one of the recent metaheuristic algorithms. are some of the algorithms using swarm intelligence improved in the last . Searching for the (near) optimal subset of features is a challenging problem in the process of feature selection (FS). In this research, a segmentation model is proposed for fish images using Salp Swarm Algorithm (SSA). H. Tabu search has achieved impressive practical successes in applications ranging from scheduling and computer channel balancing to cluster analysis and space planning, and more recently has demonstrated its value in treating classical problems such as the traveling Abstract This paper aims to develop a new crash box with improved crashworthiness at reduced cost and weight as a base design for use in the automotive industry. 2 The convergence curve of the functions using the SS A and the SSAPSO algorithms Salp Swarm Algorithm: Salps belong to the family of Salpidae and have transparent barrel-shaped body. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. MATLAB Central contributions by Seyedali Mirjalili. Mohammadzadeh, Classification of sonar target using hybrid particle swarm and gravitational search algorithm, Iranian J. A Mutated Salp Swarm Algorithm for Optimization of Support Vector Machine Parameters RR Rajalaxmi, E Vidhya 2019 5th International Conference on Advanced Computing & Communication … , 2019 Buy the Paperback Book The International Conference On Advanced Machine Learning Technologies And Applications (amlta2018) by Aboul Ella Hassanien at Indigo. The bee swarming the reproductive process and their collective decision-making have inspired this algorithm; it has no algorithmic connection with the honey bee algorithm or the artificial bee colony algorithm. The total of square deviations (TSD) between the actual and calculated results represents the objective function. The SCA works by using a local Feb 22, 2019 Salp Swarm Algorithm (SSA) is a novel swarm intelligent algorithm with good performance. Recent trends indicate the rapid growth of nature-inspired techniques in the field of optimization. 1 x1 j = (Fj +c1 ubj −lbj c2 +lbj c3 ≥0. This task is challenging as different specimens, rotations, positions, illuminations, and backgrounds exist in fish images. 2. algorithms Article An Improved Multiobjective Particle Swarm Optimization Based on Culture Algorithms Chunhua Jia * and Hong Zhu School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611371, Abstract: In this paper, a novel swarm intelligent algorithm is proposed, known as the fitness dependent optimizer (FDO). øy of AFM-Assisted Direct and Least-Square Attitude Determination Algorithm A Salp Swarm Algorithm for Improvirg Wind Farm Power Generation Design and Development of Wearable Human Activity Recognition for +atlhcare Monitorirg An Improved Efficiency Of Solar Photo Voltaic System By I-king DC-DC Zeta Converter This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple In this paper, a new particle swarm optimization (PSO) algorithm is proposed for solving a team formation optimization problem by minimizing the communication cost among experts. Professional Interests: Multi-objective optimization, Robust optimization, Swarm intelligence, Computational intelligence Improved salp swarm algorithm based on weight factor and adaptive mutation In order to solve the problem of low optimisation performance and premature convergence shown in SSA, an improved algorithm called WASSA in combination with the above two sections is presented in this paper. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. Awarded to Seyedali Mirjalili on 20 Jul 2017. Part I introduced the fundamental ideas of tabu search as an approach for guiding oth This paper presents the fundamental principles underlying tabu search as a strategy for combinatorial optimization problems. 5 Fj −c1 FS can be formulated as an optimization problem. Since James Kennedy (a social psychologist) and Russell C. ) The coefficient c1 plays an important role in SSA which balances between the exploration and exploitation. Plenty of problems are related to the calculation of edges and nodes in the realistic networks. The SSA algorithm is able to drive salps towards the food source and updates it over the course of iterations. convergence property or the computation time can still be improved. GSET Ah. features and improve the accuracy of classification in a data set. OVERVIEW OF SALP SWARM ALGORITHM AND GENETIC ALGORITHM The SSA imitates the behaviors of salp, this algorithm is known as a powerful algorithm for solving real-world problems with difficult and unknown search spaces [18]. An improved nature inspired meta-heuristic algorithm for 1-D bin packing Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. icic 2013 : 198-206 [doi] A Hybrid Metaheuristic for Multiple Runways Aircraft Landing Problem Based on Bat Algorithm Jian Xie , Yongquan Zhou , Hongqing Zheng . c1 is decreased over iterations and can be computed as follows: Where l is the current iteration and L is the maximum number of iterations. Salp Swarm Algorithm (SSA) is one of the most recently proposed algorithms driven by the simulation behavior of salps. The exploration concentrates on finding better solution by exploring a search space properly, while exploitation concentrates on exploiting the data in the local area. Improved Feedforward Neural Networks Using PSOGSA The multi-objective version of the Salp Swarm Algorithm (SSA) Awarded to Seyedali Mirjalili on 20 Jul 2017. Multi-objective Salp Swarm Algorithm (MSSA) As discussed in Section 2, the solution for a multi-objective problem is a set of solutions called the Pareto optimal set. J. Salp Swarm Algorithm. improved salp swarm algorithm

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