Results 31 to 40 of about 53,710 (343)
Accurate Solar Cell Modeling via Genetic Neural Network-Based Meta-Heuristic Algorithms
Frontiers in Energy Research, 2021 Accurate solar cell modeling is essential for reliable performance evaluation and prediction, real-time control, and maximum power harvest of photovoltaic (PV) systems.
Long Wang +7 more
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Feasibility restoration for iterative meta-heuristics search algorithms [PDF]
, 2002 Many combinatorial optimisation problems have constraints that are difficult for meta-heuristic search algorithms to process. One approach is that of feasibility restoration.
Randall, Marcus
core +1 more source
Ain Shams Engineering Journal, 2020 The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along ...
Ahmad AL Ahmad, Reza Sirjani
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A Meta-Heuristic Load Balancer for Cloud Computing Systems [PDF]
, 2015 This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost.
Getov, Vladimir +3 more
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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
Meta-heuristic Algorithms for Nesting Problem of Rectangular Pieces [PDF]
, 2017 Nesting problems consist of placing multiple items onto larger shapes finding a good arrangement. The goal of the nesting process is to minimize the waste of material.
Lo Valvo, E.
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A new hybrid method DSM for parameter setting of meta-heuristic algorithms [PDF]
مجله مدل سازی در مهندسی, 2021 Parameters of meta-heuristic algorithms are very effective in their performance and are usually done experimentally, which is very time-consuming. In this research, a hybrid method for selecting the optimal parameters of meta-heuristic algorithms is ...
Elham Shadkam, Mehrnaz Ghayoor
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Sensing cloud optimization to solve ED of units with valve-point effects and multi-fuels [PDF]
, 2013 In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented.
A.I. Selvakumar +8 more
core +4 more sources
Meta-Heuristics: An Overview [PDF]
, 1996 Meta-heuristics are the most recent development in approximate search methods for solving complex optimization problems, that arise in business, commerce, engineering, industry, and many other areas. A meta-heuristic guides a subordinate heuristic using concepts derived from artificial intelligence, biological, mathematical, natural and physical ...
Ibrahim H. Osman, James P. Kelly
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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
doaj +1 more source