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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 …
A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems
This work proposed a new metaheuristic dubbed as Chaotic Lévy flight distribution (CLFD)
algorithm, to address physical world engineering optimization problems that incorporate the …
algorithm, to address physical world engineering optimization problems that incorporate the …
A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems
In this present work, mechanical engineering optimization problems are solved by
employing a novel optimizer (HFDO-DOBL) based on a physics-based flow direction …
employing a novel optimizer (HFDO-DOBL) based on a physics-based flow direction …
A novel hybrid Fick's law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems
In this article, a recently developed physics-based Fick's law optimization algorithm is
utilized to solve engineering optimization challenges. The performance of the algorithm is …
utilized to solve engineering optimization challenges. The performance of the algorithm is …
An improved equilibrium optimizer for optimal placement of photovoltaic systems in radial distribution power networks
This paper proposes an improved equilibrium optimizer (IEO) for selecting the most suitable
location and the most effective size of photovoltaic systems (PVSs) in radial distribution …
location and the most effective size of photovoltaic systems (PVSs) in radial distribution …
A boosted chimp optimizer for numerical and engineering design optimization challenges
Chimp optimization algorithm (ChoA) has a wholesome attitude roused by chimp's amazing
thinking and hunting ability with a sensual movement for finding the optimal solution in the …
thinking and hunting ability with a sensual movement for finding the optimal solution in the …
A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems
Slime mould algorithm (SMA) is a novel metaheuristic algorithm with good performance for
optimization problems, but it may encounter premature or low accuracy in complex …
optimization problems, but it may encounter premature or low accuracy in complex …
A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems
The existing arithmetic optimization algorithm is a meta‐heuristics algorithm that utilizes
distribution behaviors for the different parameters in mathematics. The different …
distribution behaviors for the different parameters in mathematics. The different …
Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems
C Zhong, G Li - Expert Systems with Applications, 2022 - Elsevier
Harris hawks optimization (HHO) is a novel metaheuristic algorithm which has strong
convergence for unconstrained optimization problems. However, HHO may encounter …
convergence for unconstrained optimization problems. However, HHO may encounter …
NLBBODE optimizer for accurate and fast modeling of photovoltaic module/string generator and its application to solve real-world constrained optimization problems
In this paper, a new optimizer is presented to quickly and accurately identify parameters of
the photovoltaic (PV) module/string models. This optimizer is named Nested Loop …
the photovoltaic (PV) module/string models. This optimizer is named Nested Loop …