Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …

A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

Optimization and decision making problems in various fields of engineering have a major
impact in this current era. Processing time and utilizing memory is very high for the currently …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

Conventional and classical optimization methods are not efficient enough to deal with
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …

Meta-heuristics are the most recent development in approximate search methods for solving
complex optimization problems, that arise in business, commerce, engineering, industry …

Nowadays computers are also used to solve incredibly complex problems. To solve these
problems we have to develop some advanced algorithms. Exact algorithms of such …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …