Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings

Parallel Problem Solving from Nature, 1st Workshop, PPSN I, Dortmund, FRG, October 1-3, 1990, Proceedings

That's it, a book to wait for in this month. Even you have wanted for long time for releasing this book parallel problem solving from nature 1st workshop ppsn i dortmund frg october 1 3 1990 proceedi; you may not be able to get in some stress. Should you go around and seek fro the book until you really get it? Are you sure? Are you that free? This condition will force you to always end up to ge...

PPSN XIII 13th International Conference on Parallel Problem Solving from Nature

General Lower Bounds for Evolutionary Algorithms

@inProceedings{lbes, author={O. Teytaud and S. Gelly}, title={General lower bounds for evolutionary algorithms}, booktitle = {$10^{th}$ International Conference on Parallel Problem Solving from Nature (PPSN 2006), 10 pages,},

Special issue on hyper-heuristics in search and optimization

A hyper-heuristic is an automated methodology for selecting or generating heuristics to solve hard computational search problems. The main feature distinguishing these methods is that they explore a search space of heuristics (rather than a search space of potential solutions to a problem). The goal is that hyper-heuristics will lead to more general systems that are able to automatically operat...

What Does the Evolution Path Learn in CMA-ES?

The Covariance matrix adaptation evolution strategy (CMA-ES) evolves a multivariate Gaussian distribution for continuous optimization. The evolution path, which accumulates historical search direction in successive generations, plays a crucial role in the adaptation of covariance matrix. In this paper, we investigate what the evolution path approximates in the optimization procedure. We show th...