标题
Quantum-inspired evolutionary algorithms: a survey and empirical study
作者
关键词
-
出版物
JOURNAL OF HEURISTICS
Volume 17, Issue 3, Pages 303-351
出版商
Springer Nature
发表日期
2010-06-29
DOI
10.1007/s10732-010-9136-0
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- An adaptive-evolution-based quantum-inspired evolutionary algorithm for QoS multicasting in IP/DWDM networks
- (2009) Huanlai Xing et al. COMPUTER COMMUNICATIONS
- A novel competitive co-evolutionary quantum genetic algorithm for stochastic job shop scheduling problem
- (2009) Jinwei Gu et al. COMPUTERS & OPERATIONS RESEARCH
- A Thermal Unit Commitment Approach Using an Improved Quantum Evolutionary Algorithm
- (2009) Yun-Won Jeong et al. ELECTRIC POWER COMPONENTS AND SYSTEMS
- Classification rule discovery with DE/QDE algorithm
- (2009) Haijun Su et al. EXPERT SYSTEMS WITH APPLICATIONS
- An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems
- (2009) Ling Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Quantum-Inspired Evolutionary Algorithm Approach for Unit Commitment
- (2009) T.W. Lau et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A novel parallel quantum genetic algorithm for stochastic job shop scheduling
- (2009) Jinwei Gu et al. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
- A novel quantum-inspired immune clonal algorithm with the evolutionary game approach
- (2009) Qiuyi Wu et al. Progress in Natural Science-Materials International
- A multi-granularity evolution based Quantum Genetic Algorithm for QoS multicast routing problem in WDM networks
- (2008) Huanlai Xing et al. COMPUTER COMMUNICATIONS
- Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms
- (2008) Zhiyong Li et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Real-coded chaotic quantum-inspired genetic algorithm for training of fuzzy neural networks
- (2008) Shuanfeng Zhao et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Reactive power and voltage control based on general quantum genetic algorithms
- (2008) John G. Vlachogiannis et al. EXPERT SYSTEMS WITH APPLICATIONS
- Accelerating Differential Evolution Using an Adaptive Local Search
- (2008) N. Noman et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Protein Folding in Simplified Models With Estimation of Distribution Algorithms
- (2008) R. Santana et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Quantum Genetic Optimization
- (2008) A. Malossini et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA
- (2008) M.D. Platel et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Quantum-Inspired Evolutionary Algorithm for Real and Reactive Power Dispatch
- (2008) John G. Vlachogiannis et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Quantum-Inspired Immune Clonal Algorithm for Global Optimization
- (2008) Licheng Jiao et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Replacement strategies to preserve useful diversity in steady-state genetic algorithms
- (2008) M LOZANO et al. INFORMATION SCIENCES
- A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
- (2008) Salvador García et al. JOURNAL OF HEURISTICS
- Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits
- (2008) Panchi Li et al. NEUROCOMPUTING
- Quantum-inspired evolutionary tuning of SVM parameters
- (2008) Zhiyong Luo et al. Progress in Natural Science-Materials International
- Evolving quantum circuits at the gate level with a hybrid quantum-inspired evolutionary algorithm
- (2008) Shengchao Ding et al. SOFT COMPUTING
- Real-parameter quantum evolutionary algorithm for economic load dispatch
- (2007) G.S. Sailesh Babu et al. IET Generation Transmission & Distribution
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