Heap-based optimizer inspired by corporate rank hierarchy for global optimization

Q Askari, M Saeed, I Younas - Expert Systems with Applications, 2020 - Elsevier
In an organization, a group of people working for a common goal may not achieve their goal
unless they organize themselves in a hierarchy called Corporate Rank Hierarchy (CRH) …

Political Optimizer: A novel socio-inspired meta-heuristic for global optimization

Q Askari, I Younas, M Saeed - Knowledge-based systems, 2020 - Elsevier
This paper proposes a novel global optimization algorithm called Political Optimizer (PO),
inspired by the multi-phased process of politics. PO is the mathematical mapping of all the …

Dynamic levy flight chimp optimization

W Kaidi, M Khishe, M Mohammadi - Knowledge-Based Systems, 2022 - Elsevier
Abstract Background: The Chimp Optimization Algorithm (ChOA) is a hunting-based model
and can be utilized as a set of optimization rules to tackle optimization problems. Due to …

[图书][B] Particle swarm optimization

M Clerc - 2010 - books.google.com
This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-
specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies …

Combining multiobjective optimization with differential evolution to solve constrained optimization problems

Y Wang, Z Cai - IEEE Transactions on Evolutionary …, 2012 - ieeexplore.ieee.org
During the past decade, solving constrained optimization problems with evolutionary
algorithms has received considerable attention among researchers and practitioners. Cai …

Optimization of constraint engineering problems using robust universal learning chimp optimization

L Liu, M Khishe, M Mohammadi… - Advanced Engineering …, 2022 - Elsevier
Due to the challenging constraint search space of real-world engineering problems, a
variation of the Chimp Optimization Algorithm (ChOA) called the Universal Learning Chimp …

Niching chimp optimization for constraint multimodal engineering optimization problems

SP Gong, M Khishe, M Mohammadi - Expert Systems with Applications, 2022 - Elsevier
Two significant concerns need to be addressed to handle multimodal problems: classifying
various local/global optima and preserving these optimum values until the termination …

Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection

M Tayebi, S El Kafhali - Evolutionary intelligence, 2024 - Springer
In recent years, detecting fraud transactions has become a popular research topic because
credit card fraud transactions result in the loss of billions of dollars every year. Therefore, the …

City councils evolution: a socio-inspired metaheuristic optimization algorithm

E Pira - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The supreme council of a city is usually formed by the evolution of councils from the smallest
neighborhoods to the largest ones, regions, and finally the whole city. Council members of a …

Fans Optimizer: A human-inspired optimizer for mechanical design problems optimization

X Wang, J Xu, C Huang - Expert Systems with Applications, 2023 - Elsevier
This paper proposes a human-inspired algorithm for optimizing various practical
engineering problems, specifically, the Fans Optimization (FO) algorithm that is inspired by …