Significance Relations for the Benchmarking of Meta-Heuristic Algorithms [PDF]
2013 13th International Conference on Intellient Systems Design and Applications, 2013 The experimental analysis of meta-heuristic algorithm performance is usually based on comparing average performance metric values over a set of algorithm instances.
Koeppen, Mario, Ohnishi, Kei
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A systematic review of meta-heuristic algorithms in IoT based application
Array, 2022 Internet-of-Things (IoT) has gained quick popularity with the evolution of technologies such as big data analytics, block-chain, artificial intelligence, machine learning, and deep learning.
Vivek Sharma, Ashish Kumar Tripathi
exaly +3 more sources
AEJ - 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 ...
Nor Ashidi Mat Isa
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Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey [PDF]
IEEE Transactions on Evolutionary Computation, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Mohammad-H Tayarani-N +2 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
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Review of conventional metaheuristic techniques for resource-constrained project scheduling problem [PDF]
Journal of Project Management, 2022 This paper is concerned with an overview of the Resource-Constrained Project Scheduling Problem (RCPSP) and the conventional meta-heuristic solution techniques that have attracted the attention of many researchers in the field.
Amir Golab +3 more
doaj +1 more source
A comprehensive review on meta-heuristic algorithms and their classification with novel approach
Journal of Applied Research on Industrial Engineering, 2021 Conventional and classical optimization methods are not efficient enough to deal with complicated, NP-hard, high-dimensional, non-linear, and hybrid problems.
Hojatollah Rajabi Moshtaghi +2 more
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Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer [PDF]
Journal of Mahani Mathematical Research, 2023 One of the principal challenges in the cloud is the task scheduling problem. Appropriate task scheduling algorithms are needed to achieve goals such as load balancing, minimum cost, minimum energy consumption, etc.
Reyhane Ghafari, Najme Mansouri
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Advances in meta-heuristic methods for large-scale black-box optimization problems
Zhongguo Jianchuan Yanjiu, 2021 The optimal design of complex engineering equipment usually faces high-complexity, high-dimensional optimization problems – the so-called "large-scale black-box optimization problems (LBOPs)" – which are characterized by unavailable mathematical ...
Puyu JIANG +3 more
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Comparison of Recent Meta-Heuristic Optimization Algorithms Using Different Benchmark Functions
Journal of Mathematical Sciences and Modelling, 2022 Meta-heuristic optimization algorithms are used in many application areas to solve optimization problems. In recent years, meta-heuristic optimization algorithms have gained importance over deterministic search algorithms in solving optimization problems.
Mahmut Dirik
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