Recent advances in global optimization
Recent advances in global optimization
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
Faster convergence by means of fitness estimation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Accelerating evolutionary algorithms with Gaussian process fitness function models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A robust stochastic genetic algorithm (StGA) for global numerical optimization
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
An object-oriented software implementation of a novel cuckoo search algorithm
ECC'11 Proceedings of the 5th European conference on European computing conference
Parallelized cuckoo search algorithm for unconstrained optimization
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
| Hi-index | 0.00 |
The paper deals with a global optimization algorithm using hybrid approach. To take the advantage of global search capability the evolution strategy (ES) with some modifications in recombination formulas and elites keeping is used first to find the near-optimal solutions. The sequential quadratic programming (SQP) is then used to find the exact solution from the solutions found by ES. One merit of the algorithm is that the solutions for multimodal problems can be found in a single run. Eight popular test problems are used to test the proposed algorithm. The results are satisfactory in quality and efficiency.