Exploration and exploitation in evolutionary algorithms: A survey

M Črepinšek, SH Liu, M Mernik - ACM computing surveys (CSUR), 2013 - dl.acm.org
“Exploration and exploitation are the two cornerstones of problem solving by search.” For
more than a decade, Eiben and Schippers' advocacy for balancing between these two …

Multiobjective optimization in bioinformatics and computational biology

J Handl, DB Kell, J Knowles - IEEE/ACM Transactions on …, 2007 - ieeexplore.ieee.org
This paper reviews the application of multiobjective optimization in the fields of
bioinformatics and computational biology. A survey of existing work, organized by …

[图书][B] Metaheuristics: from design to implementation

EG Talbi - 2009 - books.google.com
A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …

[图书][B] Introduction to evolutionary computing

AE Eiben, JE Smith - 2015 - Springer
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 …

[图书][B] Evolutionary algorithms for solving multi-objective problems

CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

[HTML][HTML] Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming: Lulu. com, 2008, 250 pp, ISBN 978-1-4092-0073-4

M O'Neill - 2009 - Springer
The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

[图书][B] Linear genetic programming

M Brameier, W Banzhaf, W Banzhaf - 2007 - Springer
Linear Genetic Programming | SpringerLink Skip to main content Advertisement SpringerLink
Log in Menu Find a journal Publish with us Search Cart Book cover Book © 2007 Linear …

Performance scaling of multi-objective evolutionary algorithms

V Khare, X Yao, K Deb - International conference on evolutionary multi …, 2003 - Springer
MOEAs are getting immense popularity in the recent past, mainly because of their ability to
find a wide spread of Pareto-optimal solutions in a single simulation run. Various …

Encouraging behavioral diversity in evolutionary robotics: An empirical study

JB Mouret, S Doncieux - Evolutionary computation, 2012 - direct.mit.edu
Evolutionary robotics (ER) aims at automatically designing robots or controllers of robots
without having to describe their inner workings. To reach this goal, ER researchers primarily …

Parameter control in evolutionary algorithms

AE Eiben, Z Michalewicz, M Schoenauer… - Parameter setting in …, 2007 - Springer
The issue of setting the values of various parameters of an evolutionary algorithm is crucial
for good performance. In this paper we discuss how to do this, beginning with the issue of …