Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Proceedings of the third international conference on Genetic algorithms
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
GENITOR II.: a distributed genetic algorithm
Journal of Experimental & Theoretical Artificial Intelligence
Emergent computation
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Dynamic Parameter Encoding for Genetic Algorithms
Machine Learning
Directed mutation in genetic algorithms
Information Sciences—Intelligent Systems: An International Journal
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm
IEEE Transactions on Parallel and Distributed Systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Memetic algorithms: a short introduction
New ideas in optimization
Ant algorithms for discrete optimization
Artificial Life
A GA-based fuzzy adaptive learning control network
Fuzzy Sets and Systems
Evolving Multilayer Perceptrons
Neural Processing Letters
Swarm intelligence
Quantum computing
Evolutionary Computation: The Fossil Record
Evolutionary Computation: The Fossil Record
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
Membrane Computing: An Introduction
Membrane Computing: An Introduction
A Neural Network with Evolutionary Neurons
Neural Processing Letters
Genetic Algorithms for the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator
Proceedings of the 3rd International Conference on Genetic Algorithms
Varying the Probability of Mutation in the Genetic Algorithm
Proceedings of the 3rd International Conference on Genetic Algorithms
Parallel Genetic Algorithms Population Genetics and Combinatorial Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Fine-Grained Parallel Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Towards an Optimal Mutation Probability for Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Application of the `Evolutionsstrategie' to Discrete Optimization Problems
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Lamarckian Evolution, The Baldwin Effect and Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Analysis of Selection, Mutation and Recombination in Genetic Algorithms
Evolution and Biocomputation, Computational Models of Evolution
The Effects of Partial Restarts in Evolutionary Search
Selected Papers from the 5th European Conference on Artificial Evolution
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
The Ant Colony Metaphor for Searching Continuous Design Spaces
Selected Papers from AISB Workshop on Evolutionary Computing
Advances in evolutionary computing
Advances in evolutionary computing
Nonlinearities in genetic adaptive search.
Nonlinearities in genetic adaptive search.
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Some experiments in machine learning using vector evaluated genetic algorithms (artificial intelligence, optimization, adaptation, pattern recognition)
An analysis of Gray versus binary encoding in genetic search
Information Sciences: an International Journal - Special issue: Evolutionary computation
Ant Colony Optimization
A review of genetic algorithms applied to training radial basis function networks
Neural Computing and Applications
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms
Evolutionary Computation
Neural Networks in a Softcomputing Framework
Neural Networks in a Softcomputing Framework
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
A sequential niche technique for multimodal function optimization
Evolutionary Computation
Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Changing representations during search: A comparative study of delta coding
Evolutionary Computation
Forking genetic algorithms: Gas with search space division schemes
Evolutionary Computation
Training feedforward neural networks using genetic algorithms
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Fuzzy coding of genetic algorithms
IEEE Transactions on Evolutionary Computation
Symmetry breaking in population-based optimization
IEEE Transactions on Evolutionary Computation
Handling multiple objectives with particle swarm optimization
IEEE Transactions on Evolutionary Computation
Dynamic fuzzy control of genetic algorithm parameter coding
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Entropy-Boltzmann selection in the genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling
IEEE Transactions on Fuzzy Systems
Evolution-based design of neural fuzzy networks using self-adapting genetic parameters
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
IEEE Transactions on Neural Networks
Self-organizing nets for optimization
IEEE Transactions on Neural Networks
Combinatorial optimization with use of guided evolutionary simulated annealing
IEEE Transactions on Neural Networks
Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
Cybernetics and Systems Analysis
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Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization. Structural optimization is a discrete optimization problem which is very hard to solve using conventional optimization techniques. Parametric optimization can be solved using conventional optimization techniques, but the solution may be easily trapped at a bad local optimum. Evolutionary computation is a general-purpose stochastic global optimization approach under the universally accepted neo-Darwinian paradigm, which is a combination of the classical Darwinian evolutionary theory, the selectionism of Weismann, and the genetics of Mendel. Evolutionary algorithms are a major approach to adaptation and optimization. In this paper, we first introduce evolutionary algorithms with emphasis on genetic algorithms and evolutionary strategies. Other evolutionary algorithms such as genetic programming, evolutionary programming, particle swarm optimization, immune algorithm, and ant colony optimization are also described. Some topics pertaining to evolutionary algorithms are also discussed, and a comparison between evolutionary algorithms and simulated annealing is made. Finally, the application of EAs to the learning of neural networks as well as to the structural and parametric adaptations of fuzzy systems is also detailed.