Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
Kuk-Hyun Han low, Jong-Hwan Kim
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Citation edge evidence
- Multiobjective evolutionary algorithms: A survey of the state of the art→Quantum-inspired evolutionary algorithm for a class of combinatorial optimizationLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→Adaptation in Natural and Artificial SystemsLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→Genetic Algorithms + Data Structures = Evolution ProgramsLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→A fast quantum mechanical algorithm for database searchLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→Algorithms for quantum computation: discrete logarithms and factoringLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→Artificial Intelligence through Simulated EvolutionLegacy edge — source detail unavailable
- Quantum-inspired evolutionary algorithm for a class of combinatorial optimization→Evolution and Optimum SeekingLegacy edge — source detail unavailable
- A fast quantum mechanical algorithm for database search→Algorithms for quantum computation: discrete logarithms and factoringLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Multiobjective evolutionary algorithms: A survey of the state of the art | 2011 | 2,256 |
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Topics
| Quantum Computing Algorithms and Architecture | Computer Science |
| Quantum Information and Cryptography | Computer Science |
| Quantum-Dot Cellular Automata | Computer Science |
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