Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …
their performance. Statistical comparisons are also a crucial part which allows for reliable …
Salp swarm optimization: a critical review
In the crowded environment of bio-inspired population-based metaheuristics, the Salp
Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of …
Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of …
An intensify Harris Hawks optimizer for numerical and engineering optimization problems
Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding
optimum solution in search space. However, it easily get trapped into local search space for …
optimum solution in search space. However, it easily get trapped into local search space for …
Nature inspired methods and their industry applications—Swarm intelligence algorithms
In this paper, we present the swarm intelligence (SI) concept and mention some
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization
Among the existing global optimization algorithms, Particle Swarm Optimization (PSO) is
one of the most effective methods for non-linear and complex high-dimensional problems …
one of the most effective methods for non-linear and complex high-dimensional problems …
Social network search for global optimization
S Talatahari, H Bayzidi, M Saraee - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, a novel metaheuristic algorithm called Social Network Search (SNS) is
developed for solving optimization problems. The SNS algorithm simulates the attempts of …
developed for solving optimization problems. The SNS algorithm simulates the attempts of …
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism
F Zhao, X Hu, L Wang, J Zhao, J Tang - Knowledge-Based Systems, 2022 - Elsevier
Brain storm optimization algorithm (BSO), which is inspired by brain storm process of
human, has been adopted as an efficient optimizer for various complex problems. A …
human, has been adopted as an efficient optimizer for various complex problems. A …
Fractional-order artificial bee colony algorithm with application in robot path planning
Y Cui, W Hu, A Rahmani - European Journal of Operational Research, 2023 - Elsevier
Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
A comprehensive review of moth-flame optimisation: variants, hybrids, and applications
AG Hussien, M Amin, M Abd El Aziz - Journal of Experimental & …, 2020 - Taylor & Francis
ABSTRACT Moth-flame Optimisation Algorithm (MFO) is a new metaheuristics optimisation
algorithm presented by Mirjalili in 2015 which inspired by the navigation method of moths in …
algorithm presented by Mirjalili in 2015 which inspired by the navigation method of moths in …
Hierarchical parallel search with automatic parameter configuration for particle swarm optimization
F Zhao, F Ji, T Xu, N Zhu - Applied Soft Computing, 2024 - Elsevier
Particle swarm optimization (PSO) has been widely applied in solving optimization
problems. Despite a multitude of PSO variants that have been proposed thus far, they still …
problems. Despite a multitude of PSO variants that have been proposed thus far, they still …