Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …
problems compared to their deterministic counterparts. Despite this advantage, the …
Brain storm optimization algorithm: a review
For swarm intelligence algorithms, each individual in the swarm represents a solution in the
search space, and it also can be seen as a data sample from the search space. Based on …
search space, and it also can be seen as a data sample from the search space. Based on …
Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems
FA Hashim, EH Houssein, K Hussain… - … and Computers in …, 2022 - Elsevier
Recently, the numerical optimization field has attracted the research community to propose
and develop various metaheuristic optimization algorithms. This paper presents a new …
and develop various metaheuristic optimization algorithms. This paper presents a new …
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
The difficulty and complexity of the real-world numerical optimization problems has grown
manifold, which demands efficient optimization methods. To date, various metaheuristic …
manifold, which demands efficient optimization methods. To date, various metaheuristic …
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
MH Nadimi-Shahraki, H Zamani - Expert Systems with Applications, 2022 - Elsevier
DE algorithms have outstanding performance in solving complex problems. However, they
also have highlighted the need for an effective approach to alleviating the risk of premature …
also have highlighted the need for an effective approach to alleviating the risk of premature …
A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves
This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
On the exploration and exploitation in popular swarm-based metaheuristic algorithms
It is obvious from wider spectrum of successful applications that metaheuristic algorithms are
potential solutions to hard optimization problems. Among such algorithms are swarm-based …
potential solutions to hard optimization problems. Among such algorithms are swarm-based …
[HTML][HTML] Egret swarm optimization algorithm: an evolutionary computation approach for model free optimization
A novel meta-heuristic algorithm named Egret Swarm Optimization Algorithm (ESOA) is
proposed in this paper, which is inspired by two egret species' hunting behavior (Great Egret …
proposed in this paper, which is inspired by two egret species' hunting behavior (Great Egret …
[HTML][HTML] Memory-based sand cat swarm optimization for feature selection in medical diagnosis
The rapid expansion of medical data poses numerous challenges for Machine Learning
(ML) tasks due to their potential to include excessive noisy, irrelevant, and redundant …
(ML) tasks due to their potential to include excessive noisy, irrelevant, and redundant …
[HTML][HTML] Balancing collective exploration and exploitation in multi-agent and multi-robot systems: A review
Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …