Opposition-Based Learning: A New Scheme for Machine Intelligence
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- Type
- article
- Published
- 2005-11-28
- Cited by
- 2,110
- References
- 7
- OpenAlex
- https://openalex.org/W2162745921
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10551030
Keywords
Opposition (politics), Computer science, Artificial intelligence, Machine learning, Scheme (mathematics)
References
Cited by
- Hybrid Mutation based Evolutionary approach for function optimization
- Improving the Performance of CODEQ using Quadratic Interpolation
- Investigating in scalability of opposition-based differential evolution
- Competitive and cooperative coevolution for pareto multiobjective optimization
- Opposition-Based Reinforcement Learning
- Oppositional Biogeography-Based Optimization for Solving Economic Dispatch Problems: AnEfficient Method
- Oppositional krill herd algorithm for optimal location of distributed generator in radial distribution system
- On the performances of the flower pollination algorithm - Qualitative and quantitative analyses
- A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems
- Opposite Fuzzy Sets with Applications in Image Processing
- A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm
- Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm
- How to Speed up Optimization? Opposite-center Learning and Its Application to Differential Evolution
- Teaching-learning based optimization with global crossover for global optimization problems
- An enhanced opposition-based firefly algorithm for solvingcomplex optimization problems
- Automatic generation control of interconnected power system for robust decentralized random load disturbances using a novel quasi-oppositional harmony search algorithm
- Combined heat and power economic dispatch using opposition-based group search optimization
- Automatic generation control of power system using a novel quasi-oppositional harmony search algorithm
- Some new methods in the evolutionary search of atomic cluster shape
- Lightning search algorithm
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