State-of-the-art technologies in very large scale integration (VLSI) allow for the realization of gates with varying energy consumptions and hence delays (i.e., processing speeds) ...
Several approximation algorithms with proven performance guarantees have been proposed to find approximate solutions to classical combinatorial optimization problems. However, the...
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
— We consider a distributed system modeled as a possibly large network of automata. Planning in this system consists in selecting and organizing actions in order to reach a goal ...