Crossover operators to control size growth in linear GP and variable length GAs [PDF]
, 2008 In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomenon is commonly referred to as bloat. The present contribution investigates the
Dominique Chu +4 more
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Structural Search Spaces and Genetic Operators [PDF]
Evolutionary Computation, 2004 In a previous paper (Rowe et al., 2002), aspects of the theory of genetic algorithms were generalised to the case where the search space, Ω, had an arbitrary group action defined on it. Conditions under which genetic operators respect certain subsets of Ω were identified, leading to a generalisation of the termschema.
Jonathan E. Rowe +2 more
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Using genetic programming to learn and improve control knowledge [PDF]
, 2002 The purpose of this article is to present a multi-strategy approach to learn heuristics for planning. This multi-strategy system, called HAMLET-EVOCK, combines a learning algorithm specialized in planning (HAMLET) and a genetic programming (GP) based ...
Borrajo, Daniel +8 more
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A diversification operator for genetic algorithms [PDF]
OPSEARCH, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Improved Genetic Algorithm with Diversity and Local Search for Uncapacitated Single Allocation Hub Location Problem [PDF]
تصمیم گیری و تحقیق در عملیات, 2022 Purpose: The purpose of this paper is to propose an improved genetic algorithm to solve the problem of Uncapacitated Single-allocation Hub Location.
Mona Alizadeh Firozi +2 more
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Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming
IEEE Access, 2020 Gene expression programming (GEP), which is a variant of genetic programming (GP) with a fixed-length linear model, has been applied in many domains. Typically, GEP uses genetic operators to generate offspring.
Tonglin Liu +3 more
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Genetic Algebras Associated with ξ(a)-Quadratic Stochastic Operators
Entropy, 2023 The present paper deals with a class of ξ(a)-quadratic stochastic operators, referred to as QSOs, on a two-dimensional simplex. It investigates the algebraic properties of the genetic algebras associated with ξ(a)-QSOs.
Farrukh Mukhamedov +3 more
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A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings [PDF]
, 2004 This paper demonstrates that the use of sparse experimental design in the development of the structure for genetic algorithms, and hence other computer programs, is a particularly effective and efficient strategy.
Whitfield, R.I. +3 more
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Automatic Combination of Operators in a Genetic Algorithm to Solve the Traveling Salesman Problem. [PDF]
PLoS ONE, 2015 Genetic algorithms are powerful search methods inspired by Darwinian evolution. To date, they have been applied to the solution of many optimization problems because of the easy use of their properties and their robustness in finding good solutions to ...
Carlos Contreras-Bolton, Victor Parada
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