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Metaheuristic Optimization

In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem. For some examples, you can visit https://aliasgharheidari.com/Publications.html

Papers

Showing 51–60 of 69 papers

TitleStatusHype
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVsCode1
Metaheuristic optimization of power and energy systems: underlying principles and main issues of the 'rush to heuristics'—0
Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification—0
Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges—0
Battle royale optimization algorithmCode0
Influence of Initialization on the Performance of Metaheuristic Optimizers—0
ILS-SUMM: Iterated Local Search for Unsupervised Video SummarizationCode0
Adaptive Wind Driven Optimization Trained Artificial Neural Networks—0
A Hybrid Algorithm for Metaheuristic Optimization—0
Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path FindingCode0
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