Although computational techniques for solving Multiobjective Optimization Problems (MOPs)
have been available for many years, the recent application of Evolutionary Algorithms (EAs) …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

Most computer‐based design tools assume that designers work with a well‐defined
problem. However, this assumption has been challenged by current research. The …

This book is the result of several years of research trying to better characterize parallel
genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers …

A major problem in the evolutionary design of combinational circuits is the problem of scale.
This refers to the design of electronic circuits in which the number of gates required to …

In this paper we propose an approach based on a genetic algorithm (GA) to design
combinational logic circuits in which the objective is to minimize their total number of gates …

This paper presents a proposal based on binary particle swarm optimization to design
combinational logic circuits at the gatelevel. The proposed algorithm is validated using …

In this paper, we propose a population-based evolutionary multiobjective optimization
approach to design combinational circuits. Our results indicate that the proposed approach …

We introduce a method, based on a Genetic Algorithm (GA) approach, to design
combinational logic circuits. This problem is quite difficult for a traditional GA, but we have …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …