A survey on cooperative co-evolutionary algorithms
The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong
in 1994 and since then many CCEAs have been proposed and successfully applied to …
in 1994 and since then many CCEAs have been proposed and successfully applied to …
[PDF][PDF] A survey of linkage learning techniques in genetic and evolutionary algorithms
This paper reviews and summarizes existing linkage learning techniques for genetic and
evolutionary algorithms in the literature. It first introduces the definition of linkage in both …
evolutionary algorithms in the literature. It first introduces the definition of linkage in both …
[LIVRE][B] Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice
Y Chen - 2006 - books.google.com
Genetic algorithms (GAs) are powerful search techniques based on principles of evolution
and widely applied to solve problems in many disciplines. However, most GAs employed in …
and widely applied to solve problems in many disciplines. However, most GAs employed in …
Linkage identification by nonlinearity check for real-coded genetic algorithms
M Tezuka, M Munetomo, K Akama - … , Seattle, WA, USA, June 26-30, 2004 …, 2004 - Springer
Linkage identification is a technique to recognize decomposable or quasi-decomposable
sub-problems. Accurate linkage identification improves GA's search capability. We introduce …
sub-problems. Accurate linkage identification improves GA's search capability. We introduce …
Efficient linkage discovery by limited probing
This paper addresses the problem of discovering the structure of a fitness function from
binary strings to the reals under the assumption of bounded epistasis. Two loci (string …
binary strings to the reals under the assumption of bounded epistasis. Two loci (string …
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching
History matching, as an essential part of reservoir development, aims to infer high-
dimensional geological parameters of a reservoir with a small amount of observation …
dimensional geological parameters of a reservoir with a small amount of observation …
Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments
This paper proposes a novel decomposition method named Adjacent Intensity Matrix with
Linkage Identification (ALI) which collaborates with the Cooperative Coevolution (CC) …
Linkage Identification (ALI) which collaborates with the Cooperative Coevolution (CC) …
Convergence time for the linkage learning genetic algorithm
This paper identifies the sequential behavior of the linkage learning genetic algorithm,
introduces the tightness time model for a single building block, and develops the connection …
introduces the tightness time model for a single building block, and develops the connection …
[LIVRE][B] Extending the scalability of linkage learning genetic algorithms: Theory and practice
Y Chen - 2004 - search.proquest.com
There are two primary objectives of this dissertation. The first goal is to identify certain limits
of genetic algorithms that use only fitness for learning genetic linkage. Both an explanatory …
of genetic algorithms that use only fitness for learning genetic linkage. Both an explanatory …
Modeling dependencies of loci with string classification according to fitness differences
Genetic Algorithms perform crossovers effectively when we can identify a set of loci tightly
linked to form a building block. Several methods have been proposed to detect such linkage …
linked to form a building block. Several methods have been proposed to detect such linkage …