Search Results - decision function‐based chaotic salp swarm algorithm

SDN Controller Allocation and Assignment Based on Multicriterion Chaotic Salp Swarm Algorithm.

Authors: Krishnamoorthy, Suresh Narayanaswamy, Kumaratharan

Source: Intelligent Automation & Soft Computing; 2021, Vol. 27 Issue 1, p89-102, 14p

Subject Terms: PARTICLE swarm optimization, GENETIC mutation, SOFTWARE-defined networking, ALGORITHMS, CHAOS theory, MULTIMODAL user interfaces, IMAGE encryption

Salp improved Northern Goshawk optimization algorithm and its application to robot path planning.

Authors: Wu, Changjun Li, Qingzhen Wang, Qiaohua et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-39, 39p

Subject Terms: ROBOTIC path planning, OPTIMIZATION algorithms, SWARM intelligence, MATHEMATICAL optimization

The Application of the SubChain Salp Swarm Algorithm in the Less-Than-Truckload Freight Matching Problem.

Authors: Sun, Yibo Yue, Lei Liu, Yi et al.

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 8, p4436, 14p

Subject Terms: METAHEURISTIC algorithms, DISTRIBUTION costs, CUSTOMER satisfaction, OPERATING costs, CUSTOMER relations

Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.

Authors: Barhoush, Malek Abed-alguni, Bilal H. Al-qudah, Nour Elhuda A.

Source: Journal of Supercomputing; Dec2023, Vol. 79 Issue 18, p21265-21309, 45p

Subject Terms: INTRUSION detection systems (Computer security), PARTICLE swarm optimization, FEATURE selection, OPTIMIZATION algorithms, MACHINE learning, WILCOXON signed-rank test, ALGORITHMS

Enhanced global optimization using quadratically interpolated hybrid pathfinder algorithm.

Authors: Adegboye, Oluwatayomi Rereloluwa Feda, Afi Kekeli Tibetan, Abosede Omowumi et al.

Source: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-37, 37p

Subject Terms: OPTIMIZATION algorithms, COMPUTATIONAL mathematics, INTERPOLATION algorithms, GLOBAL optimization, MATHEMATICAL optimization

Bitterling Colony Optimization: a bio-inspired algorithm for global search.

Authors: Lai, Zhipeng Ding, Jiabin Yin, Hanfeng et al.

Source: Cluster Computing; 2025, Vol. 28 Issue 8, p1-54, 54p

Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems.

Authors: Chauhan, Sumika Vashishtha, Govind Abualigah, Laith et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Dec2023, Vol. 27 Issue 24, p18775-18802, 28p

Subject Terms: BOOSTING algorithms, MACHINE learning, ENGINEERING design, CONCEPT learning, PARTICLE swarm optimization, COSINE function

An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection.

Authors: Qaraad, Mohammed Amjad, Souad Hussein, Nazar K. et al.

Source: Neural Computing & Applications; Oct2022, Vol. 34 Issue 20, p17663-17721, 59p

Subject Terms: GLOBAL optimization, FEATURE selection, RANDOM operators, INTERPOLATION, STATISTICS, PARTICLE swarm optimization, METAHEURISTIC algorithms, BEES algorithm

Dynamic Weight and Mapping Mutation Operation-Based Salp Swarm Algorithm for Global Optimization.

Authors: Zhao, Yanchun Bi, Senlin Zhang, Huanlong et al.

Source: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 15, p8960, 18p

Subject Terms: GLOBAL optimization, PARTICLE swarm optimization, ALGORITHMS

Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems.

Authors: Hichri, Amal Hajji, Mansour Mansouri, Majdi et al.

Source: Journal of Engineering & Applied Science; 1/5/2024, Vol. 71 Issue 1, p1-17, 17p

Subject Terms: FAULT diagnosis, PHOTOVOLTAIC power systems, FEATURE selection, ALGORITHMS, PRINCIPAL components analysis

A novel and efficient salp swarm algorithm for large-scale QoS-aware service composition selection.

Authors: Li, Jun Ren, Hao Li, ChenYang et al.

Source: Computing; Sep2022, Vol. 104 Issue 9, p2031-2051, 21p

Subject Terms: WEB services, ALGORITHMS, METAHEURISTIC algorithms, SEARCH algorithms, PROBLEM solving, COMBINATORIAL optimization, MATHEMATICAL optimization

Improved exponential distribution optimizer: enhancing global numerical optimization problem solving and optimizing machine learning paramseters.

Authors: Adegboye, Oluwatayomi Rereloluwa Feda, Afi Kekeli

Source: Cluster Computing; Apr2025, Vol. 28 Issue 2, p1-43, 43p

Subject Terms: DISTRIBUTION (Probability theory), MACHINE learning, SWARMING (Zoology), GLOBAL optimization, PROBLEM solving, PARTICLE swarm optimization

Large scale salp-based grey wolf optimization for feature selection and global optimization.

Authors: Qaraad, Mohammed Amjad, Souad Hussein, Nazar K. et al.

Source: Neural Computing & Applications; Jun2022, Vol. 34 Issue 11, p8989-9014, 26p

Subject Terms: METAHEURISTIC algorithms, GLOBAL optimization, FEATURE selection, SWARM intelligence, MATHEMATICAL optimization, EVOLUTIONARY algorithms, COMPUTATIONAL complexity

Multi-verse optimization algorithm- and salp swarm optimization algorithm-based optimization of multilevel inverters.

Authors: Ceylan, Oğuzhan

Source: Neural Computing & Applications; Mar2021, Vol. 33 Issue 6, p1935-1950, 16p

Subject Terms: PARTICLE swarm optimization, MATHEMATICAL optimization, RENEWABLE energy sources, NUMERICAL calculations

Velocity clamping-assisted adaptive salp swarm algorithm: balance analysis and case studies.

Authors: Hongwei Ding Xingguo Cao Zongshan Wang et al.

Source: Mathematical Biosciences & Engineering; 2022, Vol. 19 Issue 8, p7756-7804, 49p

A parameter-optimized variational mode decomposition method using salp swarm algorithm and its application to acoustic-based detection for internal defects of arc magnets.

Authors: Huang, Qinyuan Liu, Xin Li, Qiang et al.

Source: AIP Advances; Jun2021, Vol. 11 Issue 6, p1-17, 17p

Subject Terms: DECOMPOSITION method, ALGORITHMS, ACOUSTIC signal detection, MAGNETS, RANDOM forest algorithms

Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm.

Authors: Ehteram, Mohammad Panahi, Fatemeh Ahmed, Ali Najah et al.

Source: Environmental Science & Pollution Research; Feb2022, Vol. 29 Issue 7, p10675-10701, 27p

Subject Terms: ARTIFICIAL neural networks, STANDARD deviations, AGRICULTURAL water supply

Improved active disturbance rejection control with the optimization algorithm for the leg joint control of a hydraulic quadruped robot.

Authors: Shao, Xuan Fan, Yuqi Shao, Junpeng et al.

Source: Measurement & Control (0020-2940); Sep/Oct2023, Vol. 56 Issue 7/8, p1359-1376, 18p

Subject Terms: OPTIMIZATION algorithms, HYDRAULIC control systems, ROBOT control systems, ACTIVE noise control, HYDRAULIC structures, ROBOTS, ELECTROHYDRAULIC effect, LEG

Optimal Power Flow Solutions for Power System Considering Electric Market and Renewable Energy.

Authors: Nguyen, Thang Trung Nguyen, Hung Duc Duong, Minh Quan

Source: Applied Sciences (2076-3417); Mar2023, Vol. 13 Issue 5, p3330, 28p

Subject Terms: ELECTRIC power systems, RENEWABLE energy sources, WIND power, ELECTRICAL load, ENERGY industries, PARTICLE swarm optimization, SEARCH algorithms

A new binary salp swarm algorithm: development and application for optimization tasks.

Authors: Rizk-Allah, Rizk M. Hassanien, Aboul Ella Elhoseny, Mohamed et al.

Source: Neural Computing & Applications; May2019, Vol. 31 Issue 5, p1641-1663, 23p

Subject Terms: BENCHMARK problems (Computer science), GLOBAL optimization, TRANSFER functions, ALGORITHMS, METAHEURISTIC algorithms