Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Journal of Global Optimization
A computationally efficient evolutionary algorithm for real-parameter optimization
Evolutionary Computation
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Efficient differential evolution using speciation for multimodal function optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
A note on the empirical evaluation of intermediate recombination
Evolutionary Computation
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
On self-adaptive features in real-parameter evolutionary algorithms
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Multi-start JADE with knowledge transfer for numerical optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Information Sciences: an International Journal
Population-based algorithm portfolios for numerical optimization
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
Network optimization algorithms and scenarios in the context of automatic mapping
Computers & Geosciences
Integration of NSGA-II and MOEA/D in multimethod search approach: algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Emergency resources scheduling based on adaptively mutate genetic algorithm
Computers in Human Behavior
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Evaluation of two-stage ensemble evolutionary algorithm for numerical optimization
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
A simulated annealing method based on a specialised evolutionary algorithm
Applied Soft Computing
Ockham's Razor in memetic computing: Three stage optimal memetic exploration
Information Sciences: an International Journal
Numerical assessment of metamodelling strategies in computationally intensive optimization
Environmental Modelling & Software
A new evolutionary search strategy for global optimization of high-dimensional problems
Information Sciences: an International Journal
Information Sciences: an International Journal
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design
Information Sciences: an International Journal
Fixed-point digital IIR filter design using two-stage ensemble evolutionary algorithm
Applied Soft Computing
Which algorithm should i choose at any point of the search: an evolutionary portfolio approach
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Compact Particle Swarm Optimization
Information Sciences: an International Journal
Borg: An auto-adaptive many-objective evolutionary computing framework
Evolutionary Computation
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
Comprehensive Survey of the Hybrid Evolutionary Algorithms
International Journal of Applied Evolutionary Computation
Focusing the search: a progressively shrinking memetic computing framework
International Journal of Innovative Computing and Applications
An analysis of the migration rates for biogeography-based optimization
Information Sciences: an International Journal
An analysis on separability for Memetic Computing automatic design
Information Sciences: an International Journal
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Many different algorithms have been developed in the last few decades for solving complex real-world search and optimization problems. The main focus in this research has been on the development of a single universal genetic operator for population evolution that is always efficient for a diverse set of optimization problems. In this paper, we argue that significant advances to the field of evolutionary computation can be made if we embrace a concept of self-adaptive multimethod optimization in which multiple different search algorithms are run concurrently, and learn from each other through information exchange using a common population of points. We present an evolutionary algorithm, entitled A Multialgorithm Genetically Adaptive Method for Single Objective Optimization (AMALGAM-SO), that implements this concept of self adaptive multimethod search. This method simultaneously merges the strengths of the covariance matrix adaptation (CMA) evolution strategy, genetic algorithm (GA), and particle swarm optimizer (PSO) for population evolution and implements a self-adaptive learning strategy to automatically tune the number of offspring these three individual algorithms are allowed to contribute during each generation. Benchmark results in 10, 30, and 50 dimensions using synthetic functions from the special session on real-parameter optimization of CEC 2005 show that AMALGAM-SO obtains similar efficiencies as existing algorithms on relatively simple unimodal problems, but is superior for more complex higher dimensional multimodal optimization problems. The new search method scales well with increasing number of dimensions, converges in the close proximity of the global minimum for functions with noise induced multimodality, and is designed to take full advantage of the power of distributed computer networks.