A clustering algorithm using an evolutionary programming-based approach
Pattern Recognition Letters
A genetic algorithm high-level optimizer for complex datapath and data-flow digital systems
Applied Soft Computing
Cell size determination in WCDMA systems using an evolutionary programming approach
Computers and Operations Research
An extended class of multilayer perceptron
Neurocomputing
Process parameter optimization for MIMO plastic injection molding via soft computing
Expert Systems with Applications: An International Journal
Clone selection programming and its application to symbolic regression
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A novel method for real parameter optimization based on Gene Expression Programming
Applied Soft Computing
Improved orthogonal array based simulated annealing for design optimization
Expert Systems with Applications: An International Journal
A hybrid real-parameter genetic algorithm for function optimization
Advanced Engineering Informatics
Fusion of soft computing and hard computing for large-scale plants: a general model
Applied Soft Computing
Robotics and Computer-Integrated Manufacturing
Engineering Applications of Artificial Intelligence
A kind of genetic algorithm based on compound mutation strategy and performance study
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Parallel scalable hardware implementation of asynchronous discrete particle swarm optimization
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Short term wind speed prediction based on evolutionary support vector regression algorithms
Expert Systems with Applications: An International Journal
Solving the multi-stage portfolio optimization problem with a novel particle swarm optimization
Expert Systems with Applications: An International Journal
Intelligent bionic genetic algorithm (IB-GA) and its convergence
Expert Systems with Applications: An International Journal
Structure of Multi-Stage Composite Genetic Algorithm (MSC-GA) and its performance
Expert Systems with Applications: An International Journal
An adaptive annealing genetic algorithm for the job-shop planning and scheduling problem
Expert Systems with Applications: An International Journal
Original article: A new EP-based α-β-γ-δ filter for target tracking
Mathematics and Computers in Simulation
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Using a genetic algorithm to determine optimal complementary learning clusters for ESL in Taiwan
Expert Systems with Applications: An International Journal
Shaping fitness functions for coevolving cooperative multiagent systems
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
New Trends in Parallel and Distributed Evolutionary Computing
Fundamenta Informaticae
A region-based quantum evolutionary algorithm (RQEA) for global numerical optimization
Journal of Computational and Applied Mathematics
Information Sciences: an International Journal
Optimization of lifting points of large-span steel structure based on evolutionary programming
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Noise-enhanced clustering and competitive learning algorithms
Neural Networks
Parallel particle swarm optimization with parameters adaptation using fuzzy logic
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
Cybernetics and Systems Analysis
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Natural evolution is a population-based optimization process. Simulating this process on a computer results in stochastic optimization techniques that can often outperform classical methods of optimization when applied to difficult real-world problems. There are currently three main avenues of research in simulated evolution: genetic algorithms, evolution strategies, and evolutionary programming. Each method emphasizes a different facet of natural evolution. Genetic algorithms stress chromosomal operators. Evolution strategies emphasize behavioral changes at the level of the individual. Evolutionary programming stresses behavioral change at the level of the species. The development of each of these procedures over the past 35 years is described. Some recent efforts in these areas are reviewed