An efficient optimization state-based coyote optimization algorithm and its applications
Q Zhang, X Bu, ZH Zhan, J Li, H Zhang - Applied Soft Computing, 2023 - Elsevier
Abstract Coyote Optimization Algorithm (COA) has demonstrated efficient performance by
utilizing the multiple pack (subpopulation) mechanism. However, the fixed number of packs …
utilizing the multiple pack (subpopulation) mechanism. However, the fixed number of packs …
Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
L Wang, Q Cao, Z Zhang, S Mirjalili, W Zhao - Engineering Applications of …, 2022 - Elsevier
In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
Inclined planes system optimization: theory, literature review, and state-of-the-art versions for IIR system identification
Abstract The Inclined Planes System Optimization (IPO) algorithm is recent algorithm that
uses Newton's second law to perform optimization. After conducting a thorough literature …
uses Newton's second law to perform optimization. After conducting a thorough literature …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Meta-heuristic search algorithms in truss optimization: Research on stability and complexity analyses
HT Öztürk, HT Kahraman - Applied Soft Computing, 2023 - Elsevier
Although they are among the most researched real world engineering design problems, it is
encountered with significant problems in the optimization of structural truss bar problems …
encountered with significant problems in the optimization of structural truss bar problems …
Implementation of coyote optimization algorithm for solving unit commitment problem in power systems
The aim of the Unit Commitment (UC) problem is to find the optimum scheduling of the total
generating units at lower operating costs while achieving the constraints of system and units …
generating units at lower operating costs while achieving the constraints of system and units …
Incomprehensible but Intelligible-in-time logics: Theory and optimization algorithm
M Mirrashid, H Naderpour - Knowledge-Based Systems, 2023 - Elsevier
The human mind is a complex biological member with unique abilities. Today, even the most
advanced computers cannot do all the brain's calculations in one second. The mind is …
advanced computers cannot do all the brain's calculations in one second. The mind is …
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
J Liu, Y Xia - Swarm and Evolutionary Computation, 2022 - Elsevier
The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …
have been widely used in various fields. Truss optimization is a challenging optimization …
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
M de Fátima Morais, MHDM Ribeiro… - Computers & Industrial …, 2022 - Elsevier
Scheduling problems (SP) in the permutation flow shop (PFS) environment are present in
many intermittent production industries, consisting of to determinate the processing order of …
many intermittent production industries, consisting of to determinate the processing order of …
Truss optimization with natural frequency constraints using generalized normal distribution optimization
N Khodadadi, S Mirjalili - Applied Intelligence, 2022 - Springer
Abstract The newly proposed Generalized Normal Distribution Optimization (GNDO)
algorithm is used to design the truss structures with optimal weight. All trusses optimized …
algorithm is used to design the truss structures with optimal weight. All trusses optimized …