Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

Almost all real-world optimisation problems are constrained. Solving constrained problems
is difficult for optimisation techniques. In this paper, different constraint handling strategies …

This paper presents a new optimization technique called water cycle algorithm (WCA) which
is applied to a number of constrained optimization and engineering design problems. The …

A novel population-based algorithm based on the mine bomb explosion concept, called the
mine blast algorithm (MBA), is applied to the constrained optimization and engineering …

A new efficient optimization method, called 'Teaching–Learning-Based Optimization (TLBO)',
is proposed in this paper for the optimization of mechanical design problems. This method …

In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …

This paper presents the comparison results on the performance of the Artificial Bee Colony
(ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly …

Artificial Bee Colony (ABC) algorithm was firstly proposed for unconstrained optimization
problems on where that ABC algorithm showed superior performance. This paper describes …

This article presents the performance of a very recently proposed Jaya algorithm on a class
of constrained design optimization problems. The distinct feature of this algorithm is that it …

This paper develops a surrogate-assisted evolutionary programming (EP) algorithm for
constrained expensive black-box optimization that can be used for high-dimensional …