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- Title
Special Features and Applications on Applied Metaheuristic Computing.
- Authors
Yin, Peng-Yeng; Chang, Ray-I
- Abstract
The second paper, authored by M. Kara, A. Laouid, M. AlShaikh, M. Hammoudeh, A. Bounceur, R. Euler, A. Amamra, and B. Laouid proposed a multi-round Proof of Work (PoW) consensus algorithm for preserving energy consumption and resisting attacks [[9]]. Special Features on AMC The most commonly seen AMC algorithms include genetic algorithm (GA), genetic programming (GP), evolutionary strategy (ES), evolutionary programming (EP), memetic algorithm (MA), particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee colony (ABC), differential evolution (DE), firefly algorithm (FA), simulated annealing (SA), tabu search (TS), scatter search (SS), variable neighborhood search (VNS), and GRASP, to name a few. The first paper, authored by J. Chou, T. Pham, and C. Ho, developed a metaheuristic-optimized machine-learning algorithm for multi-level classification in civil and construction engineering [[1]]. The adaptive shrinking grid search chaos wolf optimization algorithm was proposed to optimize the parameters of the neural network to enhance the image recognition accuracy.
- Subjects
BOTNETS; METAHEURISTIC algorithms; ANT algorithms; RENEWABLE energy source management
- Publication
Applied Sciences (2076-3417), 2022, Vol 12, Issue 18, p9342
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app12189342