A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The ant colony optimization meta-heuristic
New ideas in optimization
Use of a self-adaptive penalty approach for engineering optimization problems
Computers in Industry
Information Sciences—Informatics and Computer Science: An International Journal - Special Issue on Quantum Computing and Neural Information Processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Quantum computing – Facts and folklore
Natural Computing: an international journal
A new swarm mechanism based on social spiders colonies: from web weaving to region detection
Web Intelligence and Agent Systems
Particle swarm based Data Mining Algorithms for classification tasks
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
A combined heuristic optimization technique
Advances in Engineering Software - Special issue on evolutionary optimization of engineering problems
Quantum-Behaved Particle Swarm Optimization with Mutation Operator
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Expert Systems with Applications: An International Journal
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Multi-objective inventory planning using MOPSO and TOPSIS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A software tool for teaching of particle swarm optimization fundamentals
Advances in Engineering Software
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Particle swarm optimization for pap-smear diagnosis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Dynamic question generation system for web-based testing using particle swarm optimization
Expert Systems with Applications: An International Journal
Data-driven fuzzy clustering based on maximum entropy principle and PSO
Expert Systems with Applications: An International Journal
Greenhouse air temperature predictive control using the particle swarm optimisation algorithm
Computers and Electronics in Agriculture
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
Society and civilization: An optimization algorithm based on the simulation of social behavior
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Evaluating differential evolution with penalty function to solve constrained engineering problems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
Investigating Multi-View Differential Evolution for solving constrained engineering design problems
Expert Systems with Applications: An International Journal
Combining technical trading rules using particle swarm optimization
Expert Systems with Applications: An International Journal
International Journal of Bio-Inspired Computation
Computers and Operations Research
Software quality evaluation and forecast based on unascertained-SVR model
International Journal of Wireless and Mobile Computing
Hi-index | 12.06 |
Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviors of bird and other social organisms instead of the survival of the fittest individual. Inspired by the classical PSO method and quantum mechanics theories, this work presents novel quantum-behaved PSO (QPSO) approaches using mutation operator with Gaussian probability distribution. The application of Gaussian mutation operator instead of random sequences in QPSO is a powerful strategy to improve the QPSO performance in preventing premature convergence to local optima. In this paper, new combinations of QPSO and Gaussian probability distribution are employed in well-studied continuous optimization problems of engineering design. Two case studies are described and evaluated in this work. Our results indicate that Gaussian QPSO approaches handle such problems efficiently in terms of precision and convergence and, in most cases, they outperform the results presented in the literature.