genetic algorithm method. The research result is provided as the prediction of downtimes, costs, and reliability in a …

This thesis investigates the use of problem-specific knowledge to enhance a genetic algorithm approach to multiple … room for further research into generic ways to include constraints into a genetic algorithm framework. Hence, the main …

scheduling and timetabling. However, the classical genetic algorithm paradigm is not well equipped to handle constraints and …

An indirect genetic algorithm for the non-unicost set covering problem is presented. The algorithm is a two-stage meta … are an ‘indirect' genetic algorithm and a decoder routine. First, the solutions to the problem are encoded as permutations … of the rows to be covered, which are subsequently ordered by the genetic algorithm. Fitness assignment is handled by the …

This paper combines the idea of a hierarchical distributed genetic algorithm with different interagent partnering …

We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals … as compared to a standard genetic algorithm …

This paper presents a new type of genetic algorithm for the set covering problem. It differs from previous evolutionary … genetic algorithm itself provides this decoder with permutations of the solution variables and other parameters. Second, it …