Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
Recent advances in differential evolution–an updated survey
Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
[HTML][HTML] Coronavirus herd immunity optimizer (CHIO)
In this paper, a new nature-inspired human-based optimization algorithm is proposed which
is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated …
is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated …
An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
This paper presents a novel adaptive hybrid evolutionary firefly algorithm (AHEFA) for shape
and size optimization of truss structures under multiple frequency constraints. This algorithm …
and size optimization of truss structures under multiple frequency constraints. This algorithm …
[HTML][HTML] Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
[HTML][HTML] Lemurs optimizer: A new metaheuristic algorithm for global optimization
The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper.
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
Over the recent years, continuous optimization has significantly evolved to become the
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
Linearized biogeography-based optimization with re-initialization and local search
D Simon, MGH Omran, M Clerc - Information Sciences, 2014 - Elsevier
Biogeography-based optimization (BBO) is an evolutionary optimization algorithm that uses
migration to share information among candidate solutions. One limitation of BBO is that it …
migration to share information among candidate solutions. One limitation of BBO is that it …
Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
Over time, many differential evolution (DE) algorithms have been proposed for solving
constrained optimization problems (COPs). However, no single DE algorithm was found to …
constrained optimization problems (COPs). However, no single DE algorithm was found to …