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CEC
2009
IEEE
10 years 9 months ago
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen...
CEC
2005
IEEE
10 years 10 months ago
Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
Ming Yuchi, Jong-Hwan Kim
CEC
2007
IEEE
10 years 10 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
10 years 8 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
EVOW
2004
Springer
10 years 9 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
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