A clustering algorithm using an evolutionary programming-based approach
Pattern Recognition Letters
Hybrid Evolutionary Search Method Based on Clusters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Grey-Fuzzy Gain-Scheduler Design Using Taguchi-HGA Method
Journal of Intelligent and Robotic Systems
Advanced scheduling problem using constraint programming techniques in SCM environment
Computers and Industrial Engineering - Supply chain management
Hybrid Framework for Neuro-Dynamic Programming Application to Water Supply Networks
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs
Applied Mathematics and Computation
Hybrid genetic algorithm for optimization problems with permutation property
Computers and Operations Research
Real-coded memetic algorithms with crossover hill-climbing
Evolutionary Computation - Special issue on magnetic algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal multi-thresholding using a hybrid optimization approach
Pattern Recognition Letters
A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search
Computers and Industrial Engineering - Special issue: Sustainability and globalization: Selected papers from the 32 nd ICC&IE
A multi-level thresholding approach using a hybrid optimal estimation algorithm
Pattern Recognition Letters
Design of fuzzy power system stabilizer using adaptive evolutionary algorithm
Engineering Applications of Artificial Intelligence
Empirical investigation of the benefits of partial lamarckianism
Evolutionary Computation
A hybridized approach to data clustering
Expert Systems with Applications: An International Journal
Global optimal solution of rendezvous problem using a hybrid approach
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Model reduction of uncertain discrete systems having an interval structure using genetic algorithms
ISTASC'05 Proceedings of the 5th WSEAS/IASME International Conference on Systems Theory and Scientific Computation
Engineering Applications of Artificial Intelligence
Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Research of multi-population agent genetic algorithm for feature selection
Expert Systems with Applications: An International Journal
A flexible tolerance genetic algorithm for optimal problems with nonlinear equality constraints
Advanced Engineering Informatics
A fully adaptive hybrid optimization of aircraft engine blades
Journal of Computational and Applied Mathematics
Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
A Heuristic for Nonlinear Global Optimization
INFORMS Journal on Computing
Memetic algorithms for continuous optimisation based on local search chains
Evolutionary Computation
Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
Applied Soft Computing
Genetic algorithm assisted channel estimation for multi-user communication systems
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Fundamental matrix estimation by multiobjective genetic algorithm with Taguchi's method
Applied Soft Computing
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Hybrid Genetic-SPSA algorithm based on random fuzzy simulation for chance-constrained programming
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A closed loop algorithms based on chaos theory for global optimization
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Comparison of global optimization methods for drag reduction in the automotive industry
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
A homotopy approach to improving PEM identification of ARMAX models
Automatica (Journal of IFAC)
Hi-index | 0.01 |
This paper discusses the trade-off between accuracy, reliability and computing time in global optimization. Particular compromises provided by traditional methods (Quasi-Newton and Nelder-Mead's simplex methods) and genetic algorithms are addressed and illustrated by a particular application in the field of nonlinear system identification. Subsequently, new hybrid methods are designed, combining principles from genetic algorithms and “hill-climbing” methods in order to find a better compromise to the trade-off. Inspired by biology and especially by the manner in which living beings adapt themselves to their environment, these hybrid methods involve two interwoven levels of optimization, namely evolution (genetic algorithms) and individual learning (Quasi-Newton), which cooperate in a global process of optimization. One of these hybrid methods appears to join the group of state-of-the-art global optimization methods: it combines the reliability properties of the genetic algorithms with the accuracy of Quasi-Newton method, while requiring a computation time only slightly higher than the latter