An introduction to differential evolution
New ideas in optimization
Cultural algorithms: theory and applications
New ideas in optimization
Data Structures for Range Searching
ACM Computing Surveys (CSUR)
Knowledge-based solution to dynamic optimization problems using cultural algorithms
Knowledge-based solution to dynamic optimization problems using cultural algorithms
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
A cultural algorithm for the urban public transportation
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Hi-index | 0.00 |
The main goal of this thesis work is to explore the capacities of cultural algorithms to add domain knowledge in evolutionary computation. Within our objectives is to develop a cultural algorithm for constrained optimization, and other for multiobjective optimization. With a proper desing of the belief space we expect to obtain competitive results compared with other state-of-the-art evolutionary algorithms, but reducing the number of fitness function evaluations needed. In this paper we focus in the algorithm for constrained optimization, because the development of the algorithm for multiobjective optimzation is an early stage.