Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
DE/EDA: a new evolutionary algorithm for global optimization
Information Sciences—Informatics and Computer Science: An International Journal
A Note on the Extended Rosenbrock Function
Evolutionary Computation
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
Future Generation Computer Systems
An enhanced memetic differential evolution in filter design for defect detection in paper production
Evolutionary Computation
Memetic algorithm with local search chaining for large scale continuous optimization problems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A grid-oriented genetic algorithm
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Hybrid Taguchi-genetic algorithm for global numerical optimization
IEEE Transactions on Evolutionary Computation
A robust stochastic genetic algorithm (StGA) for global numerical optimization
IEEE Transactions on Evolutionary Computation
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
A multiagent genetic algorithm for global numerical optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quantum-Inspired Immune Clonal Algorithm for Global Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An introduction to simulated evolutionary optimization
IEEE Transactions on Neural Networks
| Hi-index | 7.29 |
This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems. In the proposed algorithm, the feasible solution space is decomposed into regions in terms of quantum representation. As the search progresses from one generation to the next, the quantum bits evolve gradually, increasing the probability of selecting regions that yield good fitness values. Through the inherent probabilistic mechanism, the RQEA initially behaves as a global search algorithm and gradually evolves into a local search algorithm, resulting in a good balance between exploration and exploitation. The RQEA is applied to a series of numerical optimization problems. The experiments show that the results obtained by the RQEA are better than those obtained using state-of-the-art QEA and DEahcSPX.