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IPPS
2005
IEEE
13 years 10 months ago
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenar...
Enrique Alba, Bernabé Dorronsoro, Francisco...
ACRI
2004
Springer
13 years 10 months ago
Evolving Transition Rules for Multi Dimensional Cellular Automata
Abstract. Genetic Algorithms have been used before to evolve transition rules for one dimensional Cellular Automata (CA) to solve e.g. the majority problem and investigate communic...
Ron Breukelaar, Thomas Bäck
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 8 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 11 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
ASPDAC
2006
ACM
129views Hardware» more  ASPDAC 2006»
13 years 11 months ago
Yield-area optimizations of digital circuits using non-dominated sorting genetic algorithm (YOGA)
With shrinking technology, the timing variation of a digital circuit is becoming the most important factor while designing a functionally reliable circuit. Gate sizing has emerged...
Vineet Agarwal, Janet Meiling Wang