Evolving Quantum Circuits Using Genetic Algorithm
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
DE/EDA: a new evolutionary algorithm for global optimization
Information Sciences—Informatics and Computer Science: An International Journal
Vaccine-enhanced artificial immune system for multimodal function optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quantum-inspired immune clone algorithm and multiscale Bandelet based image representation
Pattern Recognition Letters
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A novel immune clonal algorithm
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Estimation distribution of algorithm for fuzzy clustering gene expression data
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Quantum-Inspired immune clonal algorithm for multiuser detection in DS-CDMA systems
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
A quantum-inspired artificial immune system for multiobjective 0-1 knapsack problems
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
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This paper introduces a new bio-inspired Estimation of Distribution Algorithm for global optimization that integrates the quantum computing concepts with the immune clonal selection, vaccination process and Estimation of Distribution Algorithm (EDA). EDA is employed in the vaccination process to improve the solutions diversity and maintain high quality solutions in addition to its ability to avoid falling in local optimum for multi modal problems. The proposed algorithm is implemented and evaluated using standard benchmark test problems. Experimental results are compared with the quantum inspired immune clonal algorithm (QICA) and the QICA- with vaccine algorithm, where the proposed algorithm is superior to both of them. The obtained results carried out, it is performing well in terms of the solutions quality and diversity, and it is superior to both of compared algorithms.