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GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
9 years 7 months ago
Population Implosion in Genetic Programming
With the exception of a small body of adaptive-parameter literature, evolutionary computation has traditionally favored keeping the population size constant through the course of t...
Sean Luke, Gabriel Catalin Balan, Liviu Panait
GECCO
2003
Springer
9 years 7 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell
EUROGP
2003
Springer
9 years 7 months ago
The Root Causes of Code Growth in Genetic Programming
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
Matthew J. Streeter
EUROGP
2003
Springer
259views Optimization» more  EUROGP 2003»
9 years 7 months ago
Research of a Cellular Automaton Simulating Logic Gates by Evolutionary Algorithms
This paper presents a method of using genetic programming to seek new cellular automata that perform computational tasks. Two genetic algorithms are used : the first one discovers ...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...
EUROGP
2003
Springer
173views Optimization» more  EUROGP 2003»
9 years 7 months ago
Tree Adjoining Grammars, Language Bias, and Genetic Programming
In this paper, we introduce a new grammar guided genetic programming system called tree-adjoining grammar guided genetic programming (TAG3P+), where tree-adjoining grammars (TAGs) ...
Nguyen Xuan Hoai, Robert I. McKay, Hussein A. Abba...
PRICAI
2004
Springer
9 years 8 months ago
Computational Methods for Identification of Human microRNA Precursors
MicroRNA (miRNA), one of non-coding RNAs (ncRNAs), regulates gene expression directly by arresting the messenger RNA (mRNA) translation, which is important for identifying putative...
Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
PRICAI
2004
Springer
9 years 8 months ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama
IDEAL
2004
Springer
9 years 8 months ago
User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user’s queries based on ...
Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho
GECCO
2004
Springer
9 years 8 months ago
Fitness Clouds and Problem Hardness in Genetic Programming
This paper presents an investigation of genetic programming fitness landscapes. We propose a new indicator of problem hardness for tree-based genetic programming, called negative ...
Leonardo Vanneschi, Manuel Clergue, Philippe Colla...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
9 years 8 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
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