Evolutionary Computation: Theory and Applications 1999
DOI: 10.1142/9789812817471_0007
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Virus-Evolutionary Genetic Algorithm and Its Application to Traveling Salesman Problem

Abstract: Living things evolve in order to adapt to its external environments. If it is possible to simulate evolution in a living world on a computer, we realize an adaptive system like living things in nature. Evolutionary algorithm is a stochastic optimization method simulated the process of evolution in nature. The three main categories of evolutionary algo rithms are Genetic Algorithm(GA) by Holland [1], Evolutionary Programming(EP) by Fogel [2], and Evolution Strategy (ES) by Rechenberg [3]. These algorithms are f… Show more

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Cited by 3 publications
(2 citation statements)
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“…3. Virus-evolutionary GA, cultural, swarm, and agentbased models extend the classical evolutionary approach to biological (virus-evolutionary GA [88]) and social (cultural [89], swarm [90], and agent-based EA [91]) co-evolution and co-adaptation of individuals, groups, and populations. Co-evolution introduces a new level of flexibility into the evolutionary framework, allowing for the creation of arbitrarily complex, multi-level and multi-dimensional behavioral forms and patterns that are capable of matching the ever-growing complexity of application tasks.…”
Section: Notes On Advanced Models Of Evolutionary Algorithmsmentioning
confidence: 99%
“…3. Virus-evolutionary GA, cultural, swarm, and agentbased models extend the classical evolutionary approach to biological (virus-evolutionary GA [88]) and social (cultural [89], swarm [90], and agent-based EA [91]) co-evolution and co-adaptation of individuals, groups, and populations. Co-evolution introduces a new level of flexibility into the evolutionary framework, allowing for the creation of arbitrarily complex, multi-level and multi-dimensional behavioral forms and patterns that are capable of matching the ever-growing complexity of application tasks.…”
Section: Notes On Advanced Models Of Evolutionary Algorithmsmentioning
confidence: 99%
“…Kubota et al (1996) eFukuda et al (1999) apresentam um algoritmo denominado VEGA -Virus Evolutionary Genetic Algorithm onde usam também o conceito de Vírus. Os autores utilizam a mesma terminologia, contudo não é possível traçar um paralelo entre esse trabalho e a proposta da TC.…”
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