A comparative study of stochastic optimization methods in electric motor design
Applied Intelligence
An artificial intelligence approach to the efficiency improvement of a universal motor
Engineering Applications of Artificial Intelligence
IEEE Transactions on Evolutionary Computation
MatPort – online mathematics learning with a bioinspired decision-making system
International Journal of Innovative Computing and Applications
Meta-evolved empirical evidence of the effectiveness of dynamic parameters
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Guided restarting local search for production planning
Engineering Applications of Artificial Intelligence
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Using supportive coevolution to evolve self-configuring crossover
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
A multi-objective approach to the application of real-world production scheduling
Expert Systems with Applications: An International Journal
Parameter-less algorithm for evolutionary-based optimization
Computational Optimization and Applications
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The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for genetic algorithms and similar techniques. Efficiency of the proposed algorithm was evaluated by CEC2006 benchmark functions and a real-world product optimization problem.