Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems
The RIME optimization algorithm is a newly developed physics-based optimization algorithm
used for solving optimization problems. The RIME algorithm proved high-performing in …
used for solving optimization problems. The RIME algorithm proved high-performing in …
BEPO: A novel binary emperor penguin optimizer for automatic feature selection
Abstract Emperor Penguin Optimizer (EPO) is a metaheuristic algorithm which is recently
developed and illustrates the emperor penguin's huddling behaviour. However, the original …
developed and illustrates the emperor penguin's huddling behaviour. However, the original …
A comparative study of artificial bee colony algorithm
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based
algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this …
algorithms. ABC simulates the intelligent foraging behaviour of a honeybee swarm. In this …
[KİTAP][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
BGSA: binary gravitational search algorithm
Gravitational search algorithm is one of the new optimization algorithms that is based on the
law of gravity and mass interactions. In this algorithm, the searcher agents are a collection of …
law of gravity and mass interactions. In this algorithm, the searcher agents are a collection of …
Artificial bee colony algorithm for large-scale problems and engineering design optimization
Engineering design problems are generally large scale or nonlinear or constrained
optimization problems. The Artificial Bee Colony (ABC) algorithm is a successful tool for …
optimization problems. The Artificial Bee Colony (ABC) algorithm is a successful tool for …
Chaos embedded particle swarm optimization algorithms
This paper proposes new particle swarm optimization (PSO) methods that use chaotic maps
for parameter adaptation. This has been done by using of chaotic number generators each …
for parameter adaptation. This has been done by using of chaotic number generators each …
Chaos based optics inspired optimization algorithms as global solution search approach
Metaheuristic optimization algorithms are efficiently used in many large-scale complex
problems. Recently, a physics-based metaheuristic search and optimization method entitled …
problems. Recently, a physics-based metaheuristic search and optimization method entitled …
Opposition-based moth swarm algorithm
Nowadays, resource-optimizing techniques are required in many engineering areas to
obtain the most appropriate solutions for complex problems. For this reason, there is a trend …
obtain the most appropriate solutions for complex problems. For this reason, there is a trend …
A double-layer coding model with a rotation-based particle swarm algorithm for unmanned combat aerial vehicle path planning
Y Jia, L Qu, X Li - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Unmanned combat aerial vehicle (UCAV) technology has to address many challenges in
complex battlefield environments. To produce a safe and low-energy flying path, a UCAV …
complex battlefield environments. To produce a safe and low-energy flying path, a UCAV …
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