Chaotic maps were frequently introduced to generate random numbers and used to replace
the pseudo-random numbers distributed in Gauss distribution in computer engineering …

As a meta-heuristic algorithm that simulates the intelligence of gray wolves, grey wolf
optimizer (GWO) has a wide range of applications in practical problems. As a kind of local …

This work integrates chaotic maps into the recently proposed heuristic algorithm called
Biogeography-Based Optimization (BBO) algorithm. The effects of 3 different chaotic maps …

Chaotic maps were usually introduced to improve the original swarm-based nature-inspired
algorithms. Due to their chaotic characteristics, the chaotic maps were introduced to replace …

Grey wolf optimization algorithm (GWO) is a recently proposed meta-heuristics and has
shown promising performance in solving complex function optimization and engineering …

Chaos theory is a novelty approach that has been widely used into various applications.
One of the famous applications is the introduction of chaos theory into optimization. Note that …

Chaos optimization algorithms (COAs) usually utilize the chaotic map like Logistic map to
generate the pseudo-random numbers mapped as the design variables for global …

Grey wolf optimizer (GWO) is a recently proposed optimization algorithm inspired from
hunting behavior of grey wolves in wild nature. The main challenge of GWO is that it is easy …

We present and discuss philosophy and methodology of chaotic evolution that is
theoretically supported by chaos theory. We introduce four chaotic systems, that is, logistic …

Bio‐inspired algorithms have become popular due to their capability of finding good
solutions for complex optimization problems in an acceptable computational time. The Grey …