Optimization using EAs

Evolutionary Algorithms (EAs) are a class of algorithms which have been inspired by the biological evolutionary principles. Since their inception in the 1960’s and 1970’s several such algorithms have been devised. Evolutionary Strategies (ES), Evolutionary Programming (EP) and Genetic Algorithms (GAs) are some of the algorithms which  have become very popular for solving various search and optimization problems.

EVOLUTIONARY COMPUTATION LITERATURE

Here are some interesting reports/publications/books from the field of Evolutionary Computation, that is related/unrelated to my research

1. Books on Evolutionary Computing (encompassing all EAs in general):

2. Books on Genetic Algorithms (GA):

3. Books on Multi-objective Optimization using EAs

4. Interesting Publications/Technical reports: (Wherever possible, I have linked to the PDF/PS of the papers)

Following are some papers  I have read partially/fully and have found interesting:

4. Course Notes/Lectures, etc:

CONFERENCES IN THE FIELD OF EVOLUTIONARY COMPUTING

MAJOR JOURNALS

TEST FUNCTIONS FOR OPTIMIZATION USING  EA’s


GENETIC ALGORITHMS EXPLAINED XKCD STYLE