Georges R. Harik

Publication List Details

Period

1996 - 2000

Number

16

Co-Authors

Compressed Introns in a Linkage Learning Genetic Algorithm (2000)

Fernando G. Lobo, Quinta Da Torre, Kalyanmoy Deb, David E. Goldberg, Georges R. Harik, Liwei Wang

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts--- the linkage learning genetic algorithm....

A Parameter-Less Genetic Algorithm (1999)

Georges R. Harik, Fernando G. Lobo

From the user's point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes, crossover...

Extended Compact Genetic Algorithm in C++ (1999)

Fernando G. Lobo, Georges R. Harik

This report tells you how to download, compile, and run the extended compact genetic algorithm (ECGA) described in Harik's paper (Harik, 1999). It also explains how to modify the objective function...

Extended Compact Genetic Algorithm in C++ (1999)

Fernando G. Lobo, Georges R. Harik

This report tells you how to download, compile, and run the extended compact genetic algorithm (ECGA) described in Harik's paper (Harik, 1999). It also explains how to modify the objective function...

Compressed Introns in a Linkage Learning Genetic Algorithm (1998)

Fernando G. Lobo, Quinta Da Torre, Kalyanmoy Deb, David E. Goldberg, Georges R. Harik, Liwei Wang

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts--- the linkage learning genetic algorithm....

Linkage Learning Genetic Algorithm in C++ (1998)

Fernando G. Lobo, Georges R. Harik, David E. Goldberg

This report tells you how to download, compile, and run the linkage learning genetic algorithm C code that is available at the IlliGAL web site. It also explains how to change the code so that you...

Linkage Learning Genetic Algorithm in C++ (1998)

Fernando G. Lobo, Georges R. Harik, David E. Goldberg

This report tells you how to download, compile, and run the linkage learning genetic algorithm C++ code that is available at the IlliGAL web site. It also explains how to change the code so that you...

Compressed Introns in a Linkage Learning Genetic Algorithm (1997)

Fernando G. Lobo, Kalyanmoy Deb, David E. Goldberg, Georges R. Harik, Liwei Wang

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts---the linkage learning genetic algorithm....

Compressed Introns in a Linkage Learning Genetic Algorithm (1997)

Fernando G. Lobo, Kalyanmoy Deb, David E. Goldberg, Georges R. Harik, Liwei Wang

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts---the linkage learning genetic algorithm....

Compressed Introns in a Linkage Learning Genetic Algorithm (1997)

Fernando G. Lobo, Kalyanmoy Deb, David E. Goldberg, Georges R. Harik, Liwei Wang

Over the last 10 years, many efforts have been made to design a competent genetic algorithm. This paper revisits and extends the latest of such efforts---the linkage learning genetic algorithm....

The Compact Genetic Algorithm (1997)

Fernando G. Lobo, Georges R. Harik, O G. Lobo, David E. Goldberg

This paper introduces the compact genetic algorithm (cGA). The cGA represents the population as a probability distribution over the set of solutions, and is operationally equivalent to the order-one...

The Compact Genetic Algorithm (1997)

Fernando G. Lobo, Georges R. Harik, O G. Lobo, David E. Goldberg

This paper introduces the compact genetic algorithm (cGA). The cGA represents the population as a probability distribution over the set of solutions, and is operationally equivalent to the order-one...

The Compact Genetic Algorithm (1997)

Fernando G. Lobo, Georges R. Harik, O G. Lobo, David E. Goldberg

This paper introduces the compact genetic algorithm (cGA). The cGA represents the population as a probability distribution over the set of solutions, and is operationally equivalent to the order-one...

Learning Linkage (1996)

Georges R. Harik, David E. Goldberg

The topic of linkage has, with a few notable exceptions, been largely ignored. Recent studies have shown this approach to be a profound mistake--- that GAs ignoring linkage do so at their own...

Learning Linkage (1996)

Georges R. Harik, David E. Goldberg

The topic of linkage has, with a few notable exceptions, been largely ignored. Recent studies have shown this approach to be a profound mistake--- that GAs ignoring linkage do so at their own...

Georges R. Harik (1996)

Georges R. Harik, David E. Goldberg

The topic of linkage has, with a few notable exceptions, been largely ignored. Recent studies have shown this approach to be a profound mistake--- that GAs ignoring linkage do so at their own...