Genetic algorithms : principles and perspectives : a guide to GA theory /

Genetic algorithms : principles and perspectives : a guide to GA theory /

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Bibliografiske detaljer
Hovedforfatter:	Reeves, Colin R. (Author)
Andre forfattere:	Rowe, Jonathan E.
Format:	Bog
Sprog:	English
Udgivet:	Boston Kluwer Academic Publishers c2003
Serier:	Operations research/computer science interfaces series ; ORCS 20
Fag:	Genetic algorithms.
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Lignende værker

Practical genetic algorithms /
af: Haupt, Randy L.
Udgivet: (1998)

Practical genetic algorithms /
af: Haupt, Randy L.
Udgivet: (2004)

Practical genetic algorithms /
af: Haupt, Randy L.
Udgivet: (1998)

Genetic algorithms and grouping problems /
af: Falkenauer, Emanuel
Udgivet: (1998)

The simple genetic algorithm foundations and theory
af: Vose, Michael D.
Udgivet: (1999)

The simple genetic algorithm foundations and theory
af: Vose, Michael D.
Udgivet: (1999)

Practical genetic algorithms
af: Haupt, Randy L.
Udgivet: (2004)

Practical genetic algorithms
af: Haupt, Randy L.
Udgivet: (2004)

The practical handbook of genetic algorithms, applications /
Udgivet: (2001)

Practical handbook of genetic algorithms : complex coding systems /
Udgivet: (1999)

Genetic algorithms and grouping problems
af: Falkenauer, Emanuel
Udgivet: (1998)

Genetic algorithms and grouping problems
af: Falkenauer, Emanuel
Udgivet: (1998)

Foundations of genetic algorithms 6 /
Udgivet: (2001)

Modeling an intelligent staff schedule using genetic algorithm (GA) for healthcare environment
Udgivet: (2011)

Modeling an intelligent staff schedule using genetic algorithm (GA) for healthcare environment
Udgivet: (2011)

An introduction to genetic algorithms for scientists and engineers
af: Coley, David A.
Udgivet: (1999)

An introduction to genetic algorithms for scientists and engineers
af: Coley, David A.
Udgivet: (1999)

The practical handbook of genetic algorithms, applications
Udgivet: (2001)

The practical handbook of genetic algorithms, applications
Udgivet: (2001)

Practical handbook of genetic algorithms : complex coding systems /
Udgivet: (1999)

Job shop sheduling optimization problem using genetic algorithm /
af: Koh, Yee Mun
Udgivet: (2018)

Genetic algorithms and fuzzy logic systems : soft computing perspectives /
Udgivet: (1997)

Genetic algorithms and fuzzy logic systems : soft computing perspectives /
Udgivet: (1997)

Optimize class time tabling by using genetic algorithm technique in UTHM /
af: Izah Rafidah Ahmad
Udgivet: (2019)

Foundations of genetic algorithms
Udgivet: (2001)

Foundations of genetic algorithms
Udgivet: (2001)

Optimal sizing of transistor's parameter using genetic algorithm /
af: Yap Yung Lin
Udgivet: (2010)

Optimal sizing of transistor's parameter using genetic algorithm /
af: Yap Yung Lin
Udgivet: (2010)

A new genetic algorithm based clustering for binary and imbalanced class data sets /
af: Sabariah Saharan
Udgivet: (2016)

Parallel genetic algorithms theory and real world applications
af: Luque, Gabriel
Udgivet: (2011)

Parallel genetic algorithms theory and real world applications
af: Luque, Gabriel
Udgivet: (2011)

Reassembly and clustering bifragmented interwined jpeg images using genetic algorithm and extreme learning machine /
af: Rabei Raad Ali
Udgivet: (2019)

A genetic simplified swarm algorithm for optimizing n-cities open loop travelling salesman problem /
af: Chieng Hock Hung
Udgivet: (2016)

Optimize class time tabling by using genetic algorithm technique in UTHM /
af: Izah Rafidah Ahmad
Udgivet: (2019)

Genetic algorithms and fuzzy logic systems : soft computing perspectives /
Udgivet: (1997)

Genetic algorithms and fuzzy logic systems soft computing perspectives
Udgivet: (1997)

Genetic algorithms and fuzzy logic systems soft computing perspectives
Udgivet: (1997)

A new technique to design coating structure for energy saving glass using the genetic algorithm /
af: Farah Ayuni Azmin
Udgivet: (2017)

A new technique to design coating structure for energy saving glass using the genetic algorithm /
af: Farah Ayuni Azmin
Udgivet: (2017)

Genetic algorithms in search, optimization, and machine learning /
af: Goldberg, David E. (David Edward), 1953-
Udgivet: (1989)