Opposition-Based Learning: A New Scheme for Machine Intelligence
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Citation edge evidence
- Differential Evolution: A Survey of the State-of-the-Art→Opposition-Based Learning: A New Scheme for Machine IntelligenceLegacy edge — source detail unavailable
- Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review→Opposition-Based Learning: A New Scheme for Machine IntelligenceLegacy edge — source detail unavailable
- Opposition-Based Differential Evolution→Opposition-Based Learning: A New Scheme for Machine IntelligenceLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Genetic algorithms in search, optimization, and machine learningLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Genetic AlgorithmsLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→An Introduction to Genetic AlgorithmsLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Genetic Algorithms in SearchLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Learning from Delayed RewardsLegacy edge — source detail unavailable
- Opposition-Based Learning: A New Scheme for Machine Intelligence→Fundamentals of neural networks: architectures, algorithms, and applicationsLegacy edge — source detail unavailable
- Reinforcement Learning: An Introduction→Learning from Delayed RewardsLegacy edge — source detail unavailable
- Reinforcement Learning: An Introduction→Genetic algorithms in search, optimization, and machine learningLegacy edge — source detail unavailable
- Differential Evolution: A Survey of the State-of-the-Art→Opposition-Based Differential EvolutionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Genetic algorithms in search, optimization, and machine learning | 1989 | 49,344 |
| Reinforcement Learning: An Introduction | 2005 | 25,758 |
| Genetic Algorithms | 2002 | 16,154 |
| An Introduction to Genetic Algorithms | 1996 | 11,231 |
| Genetic Algorithms in Search | 1989 | 10,071 |
| Reinforcement Learning: An Introduction | 2000 | 8,702 |
| Learning from Delayed Rewards | 1989 | 5,473 |
| Fundamentals of neural networks: architectures, algorithms, and applications | 1994 | 3,049 |
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Control Systems and Identification | Engineering |
| Metaheuristic Optimization Algorithms Research | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports11 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
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