A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems
出版年份 2023 全文链接
标题
A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems
作者
关键词
-
出版物
Materials Testing
Volume 65, Issue 1, Pages 134-143
出版商
Walter de Gruyter GmbH
发表日期
2023-01-07
DOI
10.1515/mt-2022-0183
参考文献
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- (2022) Sumit Kumar et al. KNOWLEDGE-BASED SYSTEMS
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- (2022) Betül Sultan Yıldız et al. EXPERT SYSTEMS
- A novel statistical approach to numerical and multidisciplinary design optimization problems using pattern search inspired Harris hawks optimizer
- (2021) Ardhala Bala Krishna et al. NEURAL COMPUTING & APPLICATIONS
- Flow Direction Algorithm (FDA): a Novel Optimizer Approach for Solving Optimization Problems
- (2021) Hojat Karami et al. COMPUTERS & INDUSTRIAL ENGINEERING
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- (2021) Betül Sultan Yildiz et al. EXPERT SYSTEMS
- An improved antlion optimizer with dynamic random walk and dynamic opposite learning
- (2021) He Dong et al. KNOWLEDGE-BASED SYSTEMS
- Multi-Objective Passing Vehicle Search algorithm for structure optimization
- (2021) Sumit Kumar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems
- (2021) Betül Sultan Yildiz et al. ENGINEERING WITH COMPUTERS
- An improved Chaotic Harris Hawks Optimizer for solving numerical and engineering optimization problems
- (2021) Dinesh Dhawale et al. ENGINEERING WITH COMPUTERS
- Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
- (2021) Zongshan Wang et al. APPLIED INTELLIGENCE
- Seagull optimization algorithm for solving real-world design optimization problems
- (2020) Natee Panagant et al. Materials Testing
- Sine-cosine optimization algorithm for the conceptual design of automobile components
- (2020) Betül Sultan Yıldız et al. Materials Testing
- Topography and topology optimization of diesel engine components for light-weight design in the automotive industry
- (2019) Ali Rıza Yıldız et al. Materials Testing
- A new hybrid approach for reliability-based design optimization of structural components
- (2019) Emre Demirci et al. Materials Testing
- Multi-objective heat transfer search algorithm for truss optimization
- (2019) Ghanshyam G. Tejani et al. ENGINEERING WITH COMPUTERS
- Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems
- (2018) Jinhao Zhang et al. APPLIED MATHEMATICAL MODELLING
- Lightweight design of an automobile hinge component using glass fiber polyamide composites
- (2018) Taner Güler et al. Materials Testing
- Modified symbiotic organisms search for structural optimization
- (2018) Sumit Kumar et al. ENGINEERING WITH COMPUTERS
- A novel differential evolution algorithm for solving constrained engineering optimization problems
- (2017) Ali Wagdy Mohamed JOURNAL OF INTELLIGENT MANUFACTURING
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Passing vehicle search (PVS): A novel metaheuristic algorithm
- (2016) Poonam Savsani et al. APPLIED MATHEMATICAL MODELLING
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Engineering optimization by means of an improved constrained differential evolution
- (2013) Wenyin Gong et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Three improved hybrid metaheuristic algorithms for engineering design optimization
- (2012) Huizhi Yi et al. APPLIED SOFT COMPUTING
- Water cycle algorithm – A novel metaheuristic optimization method for solving constrained engineering optimization problems
- (2012) Hadi Eskandar et al. COMPUTERS & STRUCTURES
- Erratum to: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
- (2012) Amir Hossein Gandomi et al. ENGINEERING WITH COMPUTERS
- Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems
- (2011) R.V. Rao et al. COMPUTER-AIDED DESIGN
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