IEEE Computational Intelligence Magazine

This article provides a general overview of the field now known as "evolutionary multi-objective optimization," which refers to the use of evolutionary algorithms to solve problems with two or more (often conflicting) objective functions. Using as a framework the history of this discipline, we discuss some of the most representative algorithms that have been developed so far, as well as some of th... View full abstract»

Microarray analysis of gene expression from different cells and in different environmental conditions provides a means of identifying genes that share similar expression. Many computational approaches for discovering transcription factor binding sites have been offered in the literature. However, the majority of these approaches are organism-specific, require exhaustive calculation, or do not repo... View full abstract»

Evolvable hardware lies at the intersection of evolutionary computation and physical design. Through the use of evolutionary computation methods, the field seeks to develop a variety of technologies that enable automatic design, adaptation, and reconfiguration of electrical and mechanical hardware systems in ways that outperform conventional techniques. This article surveys evolvable hardware with... View full abstract»

This article briefly describes the evolutionary multi-objective optimization (EMOO) repository, which has become much more than the simple list of bibliographic references that originated it. In its current state, the EMOO repository contains many Web resources, including Ph.D. theses, software, contact information of EMOO researchers and information about EMOO-related events. Such information has... View full abstract»

Highway authorities in marginal winter climates are responsible for the precautionary gritting/salting of the road network in order to prevent frozen roads. For efficient and effective road maintenance, accurate road surface temperature prediction is required. However, this information is useless if an effective means of utilizing this information is unavailable. This is where gritting route optim... View full abstract»

Natural computation is the study of computational systems that use ideas and get inspirations from natural systems, including biological, physical, chemical, economical and social systems. It covers many active research fields, such as evolutionary computation, neural computation, molecular computation, quantum computation, ecological computation, etc. It has made tremendous progress in academic r... View full abstract»

Games provide competitive, dynamic environments that make ideal test beds for computational intelligence theories, architectures, and algorithms. Natural evolution can be considered to be a game in which the rewards for an organism that plays a good game of life are the propagation of its genetic material to its successors and its continued survival. In natural evolution, the fitness of an individ... View full abstract»

Nils Aall Barricelli was one of the pioneers in evolutionary computation. His publication of "Esempi Numerici di processi di evoluzione", a study in what would now be called artificial life, in the journal Methodos, in 1954 is perhaps the earliest published record of an evolutionary simulation. The paper was republished in 1957 in English, and detailed the results of programs that were run at the ... View full abstract»