In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm for multiuser detection in Code-division Multiple-access Systems. By...
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...