In the realm of solving complex optimization problems, it becomes crucial to fulfill multiple
objectives to achieve optimal system performance while adhering to various conditions and …

Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …

The problem of optimally designing an interplanetary trajectory for a space mission is
considered in this paper. To tackle the extreme non-linearity of the search space, a case …

We argue that results produced by a heuristic optimisation algorithm cannot be considered
reproducible unless the algorithm fully specifies what should be done with solutions …

Child drawing development optimization (CDDO) is a recent example of a metaheuristic
algorithm. The motive for inventing this method is children's learning behavior and cognitive …

In recent years, many researchers have made a continuous effort to develop new and
efficient meta-heuristic algorithms to address complex problems. Hence, in this study, a …

Teaching-learning-based optimization (TLBO) is an optimization algorithm that has become
very popular in recent years and has shown excellent performance in solving many scientific …

A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the
exploration for complex and composite landscapes through distance-based strategy …

One of the most important theoretical questions for evolutionary methods of global
optimization is their convergence. The majority of evolutionary methods do not guarantee …

A novel approach called hybrid evolutionary GWO (HE-GWO) is proposed to enhance the
effectiveness of the grey wolf optimizer (GWO) for handling dynamic landscapes. This …