A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
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' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm
EH Houssein, DA Abdelkareem, MM Emam… - Computers in Biology …, 2022 - Elsevier
Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
[HTML][HTML] An improved grasshopper optimization algorithm with application to financial stress prediction
This study proposed an improved grasshopper optimization algorithm (GOA) for continuous
optimization and applied it successfully to the financial stress prediction problem. GOA is a …
optimization and applied it successfully to the financial stress prediction problem. GOA is a …
A new improved model of marine predator algorithm for optimization problems
The marine predator algorithm is a new nature-inspired metaheuristic algorithm that mimics
biological interaction between marine predators and prey. It has been also stated from the …
biological interaction between marine predators and prey. It has been also stated from the …
A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems
MJ Goldanloo, FS Gharehchopogh - The Journal of Supercomputing, 2022 - Springer
The metaheuristic optimization algorithms are relatively new optimization algorithms
introduced to solve optimization problems in recent years. For example, the firefly algorithm …
introduced to solve optimization problems in recent years. For example, the firefly algorithm …
[PDF][PDF] A history of metaheuristics
A History of Metaheuristics arXiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training
AA Heidari, RA Abbaspour, H Chen - Applied Soft Computing, 2019 - Elsevier
Grey wolf optimizer (GWO) is a new nature-inspired algorithm that simulates the predatory
behaviors of grey wolves in nature. The GWO mainly divides the whole hunting process into …
behaviors of grey wolves in nature. The GWO mainly divides the whole hunting process into …
A review of population initialization techniques for evolutionary algorithms
Although various population initialization techniques have been employed in evolutionary
algorithms (EAs), there lacks a comprehensive survey on this research topic. To fill this gap …
algorithms (EAs), there lacks a comprehensive survey on this research topic. To fill this gap …