The CMA evolution strategy: a comparing review
N Hansen - Towards a new evolutionary computation: Advances in …, 2006 - Springer
Derived from the concept of self-adaptation in evolution strategies, the CMA (Covariance
Matrix Adaptation) adapts the covariance matrix of a multi-variate normal search distribution …
Matrix Adaptation) adapts the covariance matrix of a multi-variate normal search distribution …
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 …
[图书][B] Introduction to evolutionary computing
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …
and undergraduate students. To this group the book offers a thorough introduction to …
[PDF][PDF] Natural evolution strategies
Abstract This paper presents Natural Evolution Strategies (NES), a recent family of black-box
optimization algorithms that use the natural gradient to update a parameterized search …
optimization algorithms that use the natural gradient to update a parameterized search …
[图书][B] Design of modern heuristics: principles and application
F Rothlauf - 2011 - Springer
Most textbooks on modern heuristics provide the reader with detailed descriptions of the
functionality of single examples like genetic algorithms, genetic programming, tabu search …
functionality of single examples like genetic algorithms, genetic programming, tabu search …
Multimodal estimation of distribution algorithms
Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high
diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for …
diversity, this paper proposes a multimodal EDA. Integrated with clustering strategies for …
Optimization solution of Troesch's and Bratu's problems of ordinary type using novel continuous genetic algorithm
Z Abo-Hammour, O Abu Arqub… - Discrete Dynamics in …, 2014 - Wiley Online Library
A new kind of optimization technique, namely, continuous genetic algorithm, is presented in
this paper for numerically approximating the solutions of Troesch's and Bratu's problems …
this paper for numerically approximating the solutions of Troesch's and Bratu's problems …
DE/EDA: A new evolutionary algorithm for global optimization
Differential evolution (DE) was very successful in solving the global continuous optimization
problem. It mainly uses the distance and direction information from the current population to …
problem. It mainly uses the distance and direction information from the current population to …
An evolutionary algorithm with guided mutation for the maximum clique problem
Estimation of distribution algorithms sample new solutions (offspring) from a probability
model which characterizes the distribution of promising solutions in the search space at …
model which characterizes the distribution of promising solutions in the search space at …