Evolutionary computation: a unified approach
K De Jong - Proceedings of the Genetic and Evolutionary …, 2017 - dl.acm.org
Proceedings of the Genetic and Evolutionary Computation Conference Companion:
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
[图书][B] Genetic algorithms: principles and perspectives: a guide to GA theory
C Reeves, JE Rowe - 2002 - books.google.com
Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization
problems. As their popularity has increased, the number of GA applications has grown in …
problems. As their popularity has increased, the number of GA applications has grown in …
[图书][B] Representations for genetic and evolutionary algorithms
F Rothlauf, F Rothlauf - 2006 - Springer
2 Representations for Genetic and Evolutionary Algorithms Page 1 2 Representations for Genetic
and Evolutionary Algorithms In this second chapter, we present an introduction into the field of …
and Evolutionary Algorithms In this second chapter, we present an introduction into the field of …
A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms
In this paper, we introduce a new genetic representation—a splicing/decomposable (S/D)
binary encoding, which was proposed based on some theoretical guidance and existing …
binary encoding, which was proposed based on some theoretical guidance and existing …
Improving the locality properties of binary representations
A Grajdeanu, K De Jong - Genetic and Evolutionary Computation …, 2004 - Springer
Choosing representations and operators that preserve locality between genotype and
phenotype space is an important goal in EA design. In the GA literature there has been …
phenotype space is an important goal in EA design. In the GA literature there has been …
Finding social landscapes for PSOs via kernels
WB Langdon, R Poli - 2006 IEEE International Conference on …, 2006 - ieeexplore.ieee.org
Particle swarm optimiser and genetic algorithm populations are macro-organisms, which
perceive their environment as if filtered via a kernel. The kernel assimilates each individual's …
perceive their environment as if filtered via a kernel. The kernel assimilates each individual's …
[PDF][PDF] The Influence Of Binary Representations Of Integers On The Performance Of Selectorecombinative Genetic Algorithms.
F Rothlauf - GECCO, 2002 - researchgate.net
When using representations for genetic algorithms (GAs) every optimization problem can be
separated into a genotype-phenotype and a phenotype-fitness mapping. The …
separated into a genotype-phenotype and a phenotype-fitness mapping. The …
Neural network training using genetic algorithm with a novel binary encoding
Genetic algorithms (GAs) are widely used in the parameter training of Neural Network (NN).
In this paper, we investigate GAs based on our proposed novel genetic representation to …
In this paper, we investigate GAs based on our proposed novel genetic representation to …
A Splicing/Decomposable Binary Encoding and Its Novel Operators for Genetic and Evolutionary Algorithms
Y Liang - Bio-Inspired Computational Algorithms and Their …, 2012 - books.google.com
Most of the real-world problems could be encoded by different representations, but genetic
and evolutionary algorithms (GEAs) may not be able to successfully solve the problems …
and evolutionary algorithms (GEAs) may not be able to successfully solve the problems …
A Novel Binary Variable Representation for Genetic and Evolutionary Algorithms
Based on the theoretical guidance and existing recommendations for designing efficient
genetic representations, we investigate a novel genetic representation—a splicing …
genetic representations, we investigate a novel genetic representation—a splicing …