Journal of Global Optimization
Expert Systems with Applications: An International Journal
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
Test-case generator for nonlinear continuous parameter optimizationtechniques
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Society and civilization: An optimization algorithm based on the simulation of social behavior
IEEE Transactions on Evolutionary Computation
A simple multimembered evolution strategy to solve constrained optimization problems
IEEE Transactions on Evolutionary Computation
A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An improved vector particle swarm optimization for constrained optimization problems
Information Sciences: an International Journal
A novel modified differential evolution algorithm for constrained optimization problems
Computers & Mathematics with Applications
Comparison of different mutation strategies applied to artificial bee colony algorithm
ECC'11 Proceedings of the 5th European conference on European computing conference
A poly-hybrid PSO optimization method with intelligent parameter adjustment
Advances in Engineering Software
Gaussian particle swarm optimization with differential evolution mutation
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
A modified particle swarm optimization for correlated phenomena
Applied Soft Computing
Constrained optimization based on modified differential evolution algorithm
Information Sciences: an International Journal
Damage detection based on improved particle swarm optimization using vibration data
Applied Soft Computing
Information Sciences: an International Journal
Journal of Systems and Software
ICHEA: a constraint guided search for improving evolutionary algorithms
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Real-Valued constraint optimization with ICHEA
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Solving dynamic constraint optimization problems using ICHEA
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
An incremental approach to solving dynamic constraint satisfaction problems
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
A particle swarm-BFGS algorithm for nonlinear programming problems
Computers and Operations Research
ICHEA for discrete constraint satisfaction problems
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Investigating Multi-View Differential Evolution for solving constrained engineering design problems
Expert Systems with Applications: An International Journal
Particle swarm optimization for solving engineering problems: A new constraint-handling mechanism
Engineering Applications of Artificial Intelligence
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
Particle swarm optimization with grey evolutionary analysis
Applied Soft Computing
Review: A parameter selection strategy for particle swarm optimization based on particle positions
Expert Systems with Applications: An International Journal
International Journal of Metaheuristics
An improved particle swarm optimisation based on cellular automata
International Journal of Computing Science and Mathematics
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We propose a novel hybrid algorithm named PSO-DE, which integrates particle swarm optimization (PSO) with differential evolution (DE) to solve constrained numerical and engineering optimization problems. Traditional PSO is easy to fall into stagnation when no particle discovers a position that is better than its previous best position for several generations. DE is incorporated into update the previous best positions of particles to force PSO jump out of stagnation, because of its strong searching ability. The hybrid algorithm speeds up the convergence and improves the algorithm's performance. We test the presented method on 11 well-known benchmark test functions and five engineering optimization functions. Comparisons show that PSO-DE outperforms or performs similarly to seven state-of-the-art approaches in terms of the quality of the resulting solutions.