Results 31 to 40 of about 5,291 (162)
Metaheuristics in applied geophysics
Pamukkale University Journal of Engineering Sciences, 2016 In this study, four metaheuristic algorithms including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) and simulated annealing (SA) were used for one-, two-and threedimensional (1D, 2D and 3D) geophysical inverse problems.
BALKAYA, ÇAĞLAYAN +3 more
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Brazilian Journal of Radiation Sciences, 2019 This paper brings to light optimized proposal for a circular particle accelerator for proton beam therapy purposes (named as ACPT). The methodology applied is based on computational metaheuristics based on genetic algorithms (GA) were used to obtain ...
Gustavo Lobato Campos +1 more
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Mathematics, 2021 Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been ...
Md Ashikur Rahman +5 more
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Energy Reports, 2022 The management of renewable-powered smart grids deals with nonlinear optimization problems featuring a variety of linear or nonlinear constraints, discrete or continuous optimization variables, involving high dimensionality of the solution space, and ...
Cristina Bianca Pop +6 more
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Single-Objective Surrogate Models for Continuous Metaheuristics: An Overview
Applied SciencesThis paper presents a comprehensive overview of single-objective surrogate models for continuous metaheuristics, addressing computationally expensive optimization problems.
Konrad Krawczyk, Jarosław Arabas
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Putting Continuous Metaheuristics to Work in Binary Search Spaces
Complexity, 2017 In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces.
Broderick Crawford +5 more
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An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling
Applied Artificial Intelligence, 2021 Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem.
Adil Yousif
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TOWARDS A UNIFIED VIEW OF METAHEURISTICS
Croatian Operational Research Review, 2013 This talk provides a complete background on metaheuristics and presents in a unified view the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the ...
El-Ghazali Talbi
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Egyptian Informatics JournalMetaheuristic optimization has evolved from classical handcrafted strategies to increasingly adaptive, hybrid, and intelligence-driven systems. However, existing classification schemes remain largely static and fragmented, limiting their ability to ...
Fairouz Bouziane +4 more
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A design framework for metaheuristics [PDF]
Artificial Intelligence Review, 2008 This paper is concerned with taking an engineering approach towards the application of metaheuristic problem solving methods, i.e. heuristics that aim to solve a wide variety of problems. How can a practitioner solve a problem using metaheuristic methods? What choices do they have, and how are these choices influenced by the problem at hand?
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