This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Testing circuits which do not include a global reset signal requires either complex ATPG algorithms based on 9- or even 256-valued algebras, or some suitable method to generate in...
Fulvio Corno, Paolo Prinetto, Maurizio Rebaudengo,...
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective functio...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood,...