The economic dispatch (ED) is one of the most important short-term problems in power systems, and solving it quickly is essential. However, classical optimization tools are often too computationally demanding to be considered satisfactory. This has motivated the application of metaheuristic methods, ...
Route optimization algorithm is a computational method or mathematical technique designed to find the most efficient and optimal path or sequence of…
Tabu search is a metaheuristic algorithm employed to solve optimization issues. Its name is derived from the Arabic word "tabu," which denotes anything banned. By keeping a short-term memory of the search process and utilizing this knowledge to direct the search toward promising regions, the ...
Using the penalty method, the constrained minimization is transformed into a non-convex, multi-modal unconstrained optimization problem, which is solved using a metaheuristic algorithm called the improved multi-operator differential evolution. We apply the framework to determine optimal social distancing ...
This article is cited by Transfer learning based feature extraction with metaheuristic optimization algorithm for detecting gastric cancer using optoelectronic sensor in endoscope S. Famila A. Arulmurugan Bhargavi Maridu Optical and Quantum Electronics (2024) Inappropriate use of statistical power Raphael...
Hybrid metaheuristic for generalised assignment This paper investigates the classical generalized assignment problem (GAP), a challenging combinatorial optimization problem that arises in numerous applic... S Haddadi - 《International Journal of Innovative Computing & Applications》 被引量: 0发表: 2020年 ...
Known as a generic population-based metaheuristic optimization algorithm if you’ve not been formerly introduced yet,evolutionary algorithmsare another type of machine learning; designed to mimic the concept of natural selection inside a computer. ...
aPSO is a novel population based metaheuristic, which utilize the swarm intelligence generated by the cooperation and competition between the particle in a swarm and has emerged as a useful tool for engineering optimization. It has also been found to be robust in solving problems featuring 非线性,...
Sign up with one click: Facebook Twitter Google Share on Facebook AcronymDefinition NICSONature Inspired Cooperative Strategies for Optimization(workshop) Copyright 1988-2018AcronymFinder.com, All rights reserved. Suggest new definition Want to thank TFD for its existence?Tell a friend about us, add...
Benders decomposition, Lagrangean relaxation and metaheuristic design Large part of combinatorial optimization research has been devoted to the study of exact methods leading to a number of very diversified solution approache... M Boschetti,V Maniezzo - 《Journal of Heuristics》 被引量: 68发表: 200...