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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 11 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
Mike Preuss
EC
2012
289views ECommerce» more  EC 2012»
12 years 3 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
EVOW
2003
Springer
14 years 21 days ago
Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems
The rough surface inverse scattering problem is approached with a combination of evolutionary strategies and the simplex method. The surface, assumed one-dimensional and perfectly ...
Demetrio Macías, Gustavo Olague, Eugenio R....
EUROCAST
2009
Springer
179views Hardware» more  EUROCAST 2009»
14 years 2 months ago
New Approximation-Based Local Search Algorithms for the Probabilistic Traveling Salesman Problem
In this paper we present new local search algorithms for the Probabilistic Traveling Salesman Problem (PTSP) using sampling and ad-hoc approximation. These algorithms improve both...
Dennis Weyland, Leonora Bianchi, Luca Maria Gambar...
ECAI
2006
Springer
13 years 11 months ago
Random Subset Optimization
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
Boi Faltings, Quang Huy Nguyen