Results 11 to 20 of about 256,802 (314)
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Energy Conversion and Management, 2020 Accurate parameter identification is crucial for a precise PV cell modelling and analysis of characteristics of PV systems, while high nonlinearity of output I-V curve makes this problem extremely thorny.
Bo Yang +7 more
semanticscholar +3 more sources
Artificial Intelligence ReviewThis paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory behavior of the black kite.
Jun Wang +4 more
semanticscholar +3 more sources
Alexandria Engineering Journal, 2023 Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based algorithms and swarm intelligence are categorized under meta-heuristic ...
Othman Waleed Khalid +2 more
doaj +1 more source
IET Software, 2021 In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
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Portfolio optimization with mean-variance approach using hunting search meta-heuristic algorithm [PDF]
تحقیقات مالی, 2014 This paper presents a new meta-heuristic solution to find the efficient frontier using the mean-variance approach. Portfolio optimization problem is a quadratic programming model and, changes to NP-hard if the number of assets and constraints has ...
Morteza Elahi +2 more
doaj +1 more source
An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization
IEEE Access, 2020 The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem.
Xiaoqiang Zhao +3 more
doaj +1 more source
Aerospace, 2021 This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor.
Hasan Çınar, Ilyas Kandemir
doaj +1 more source
Dynamic Group-Based Cooperative Optimization Algorithm
IEEE Access, 2020 Several optimization problems from various types of applications have been efficiently resolved using available meta-heuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm.
Mohamad M. Fouad +3 more
doaj +1 more source
Mathematics, 2022 The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades.
Jiawei Chen +4 more
doaj +1 more source
A quick Heuristic and a general search algorithm for traveling salesman problem [PDF]
E3S Web of Conferences, 2022 This paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through
Wang Chao, Wang Deguang, Jin Chun
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