[PDF][PDF] A review of population-based meta-heuristic algorithms

Z Beheshti, SMH Shamsuddin - Int. j. adv. soft comput. appl, 2013 - academia.edu
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 …

A survey on optimization metaheuristics

I Boussaïd, J Lepagnot, P Siarry - Information sciences, 2013 - Elsevier
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 …

Recent advances and application of metaheuristic algorithms: A survey (2014–2020)

N Khanduja, B Bhushan - Metaheuristic and evolutionary computation …, 2021 - Springer
Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …

Initialisation approaches for population-based metaheuristic algorithms: a comprehensive review

JO Agushaka, AE Ezugwu - Applied Sciences, 2022 - mdpi.com
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 …

Nature inspired meta heuristic algorithms for optimization problems

VC SS, A HS - Computing, 2022 - Springer
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 …

[PDF][PDF] Historical survey on metaheuristics algorithms

SM Almufti - International Journal of Scientific World, 2019 - academia.edu
Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

[HTML][HTML] A comprehensive review on meta-heuristic algorithms and their classification with novel approach

H Rajabi Moshtaghi, A Toloie Eshlaghy… - Journal of Applied …, 2021 - journal-aprie.com
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: an overview

IH Osman, JP Kelly - Meta-heuristics: Theory and applications, 1996 - Springer
Meta-heuristics are the most recent development in approximate search methods for solving
complex optimization problems, that arise in business, commerce, engineering, industry …

[PDF][PDF] Heuristic and meta-heuristic algorithms and their relevance to the real world: a survey

S Desale, A Rasool, S Andhale, P Rane - Int. J. Comput. Eng. Res. Trends, 2015 - Citeseer
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 …

Metaheuristics: A Review of Algorithms.

HT Sadeeq, AM Abdulazeez - International Journal of Online …, 2023 - search.ebscohost.com
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 …