Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

This article is the second part of a two-part survey series on large-scale global optimization.
The first part covered two major algorithmic approaches to large-scale optimization, namely …

Differential evolution is an effective and practical approach that is widely applied for solving
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …

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 …

Large-scale optimization problems (LSOPs) are challenging because the algorithm is
difficult in balancing too many dimensions and in escaping from trapped bottleneck …

Salp swarm algorithm (SSA) is a recently developed meta-heuristic swarm intelligence
optimization algorithm based on simulating the chain movement behavior of salps sailing …

Abstract Whale Optimization Algorithm (WOA), as a new population-based optimization
algorithm, performs well in solving optimization problems. However, when tackling high …

High-dimensional problems are ubiquitous in many fields, yet still remain challenging to be
solved. To tackle such problems with high effectiveness and efficiency, this article proposes …

In this paper, a new algorithm is presented to deal with real parameter single-objective
optimization problems, which are often complex and computationally very expensive. The …

Real parameter optimization problems are often very complex and computationally
expensive. We can find such problems in engineering and scientific applications. In this …