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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Surrogate-Assisted Hybrid Meta-Heuristic Algorithm with an Add-Point Strategy for a Wireless Sensor Network [PDF]
Entropy, 2023 Meta-heuristic algorithms are widely used in complex problems that cannot be solved by traditional computing methods due to their powerful optimization capabilities. However, for high-complexity problems, the fitness function evaluation may take hours or
Jeng-Shyang Pan +4 more
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Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges [PDF]
IEEE Access, 2022 This paper proposes a new meta-heuristic optimization algorithm, namely Mud Ring Algorithm (MRA) that mimics the mud ring feeding behaviour of bottlenose dolphins in the Atlantic coast of Florida.
Abeer S. Desuky +4 more
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Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 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.
Tayarani-N, Mohammad-H. +2 more
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Wild Geese Migration Optimization Algorithm: A New Meta-Heuristic Algorithm for Solving Inverse Kinematics of Robot. [PDF]
Comput Intell Neurosci, 2022 Wu H +5 more
europepmc +3 more sources
Registration of computed tomography images of a lung infected with COVID-19 based in the new meta-heuristic algorithm HPSGWO. [PDF]
Multimed Tools Appl, 2022 Dida H, Charif F, Benchabane A.
europepmc +3 more sources
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
doaj +1 more source
Design of application-oriented disease diagnosis model using a meta-heuristic algorithm. [PDF]
Technol Health CareWang Z, Wang S, Wang M, Sun Y.
europepmc +3 more sources
A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization [PDF]
Entropy, 2019 Guocheng Li, Pei Liu
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A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya +2 more
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