Learning probability distributions in continuous evolutionary algorithms–a comparative review
We present a comparative review of Evolutionary Algorithms that generate new population
members by sampling a probability distributionconstructed during the optimization process …
members by sampling a probability distributionconstructed during the optimization process …
Cooperative co-evolution with differential grouping for large scale optimization
Cooperative co-evolution has been introduced into evolutionary algorithms with the aim of
solving increasingly complex optimization problems through a divide-and-conquer …
solving increasingly complex optimization problems through a divide-and-conquer …
Abandoning objectives: Evolution through the search for novelty alone
J Lehman, KO Stanley - Evolutionary computation, 2011 - ieeexplore.ieee.org
In evolutionary computation, the fitness function normally measures progress toward an
objective in the search space, effectively acting as an objective function. Through deception …
objective in the search space, effectively acting as an objective function. Through deception …
[PDF][PDF] Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization
This report proposes 15 large-scale benchmark problems as an extension to the existing
CEC'2010 large-scale global optimization benchmark suite. The aim is to better represent a …
CEC'2010 large-scale global optimization benchmark suite. The aim is to better represent a …
Genetic algorithms
K Sastry, D Goldberg, G Kendall - Search methodologies: Introductory …, 2005 - Springer
Chapter 4 GENETIC ALGORITHMS Page 1 Chapter 4 GENETIC ALGORITHMS Kumara Sastry,
David Goldberg University of Illinois, USA Graham Kendall University of Nottingham, UK 4.1 …
David Goldberg University of Illinois, USA Graham Kendall University of Nottingham, UK 4.1 …
[图书][B] The design of innovation: Lessons from and for competent genetic algorithms
DE Goldberg - 2002 - Springer
" It is well known that" building blocks", whether they be the atoms of chemistry, the words of
a language, or the modules of a computer, play a key role in our understanding of the world …
a language, or the modules of a computer, play a key role in our understanding of the world …
[图书][B] Hierarchical Bayesian optimization algorithm
M Pelikan, M Pelikan - 2005 - Springer
The previous chapter has discussed how hierarchy can be used to reduce problem
complexity in black-box optimization. Additionally, the chapter has identified the three …
complexity in black-box optimization. Additionally, the chapter has identified the three …
[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 …
Novelty search and the problem with objectives
J Lehman, KO Stanley - Genetic programming theory and practice IX, 2011 - Springer
By synthesizing a growing body ofwork in search processes that are not driven by explicit
objectives, this paper advances the hypothesis that there is a fundamental problem with the …
objectives, this paper advances the hypothesis that there is a fundamental problem with the …
Designing benchmark problems for large-scale continuous optimization
Three major sources of complexity in many real-world problems are size, variable
interaction, and interdependence of the subcomponents of a problem. With the rapid growth …
interaction, and interdependence of the subcomponents of a problem. With the rapid growth …