DTCSMO: an efficient hybrid starling murmuration optimizer for engineering applications
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Publication:2683466
DOI10.1016/j.cma.2023.115878OpenAlexW4319236811MaRDI QIDQ2683466
Jingyu Zhong, Guo Wei, Ching-Ter Chang, Gang Hu
Publication date: 10 February 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2023.115878
benchmarkcrossover operatorengineering optimizationdynamic oppositionstarling murmuration optimizerTaylor-based optimal neighborhood strategy
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Uses Software
Cites Work
- Ant colony optimization for continuous domains
- Optimization, block designs and no free lunch theorems
- Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- A no free lunch theorem for multi-objective optimization
- The arithmetic optimization algorithm
- Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications
- An enhanced hybrid arithmetic optimization algorithm for engineering applications
- Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization
- An enhanced chimp optimization algorithm for optimal degree reduction of Said-Ball curves
- An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
- Queuing search algorithm: a novel metaheuristic algorithm for solving engineering optimization problems
- GSA: A gravitational search algorithm
- Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
- Honey badger algorithm: new metaheuristic algorithm for solving optimization problems
- Dwarf mongoose optimization algorithm
- MCSA: multi-strategy boosted chameleon-inspired optimization algorithm for engineering applications
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