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» Behavior Combination and Swarm Programming
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ICASSP
2011
IEEE
12 years 11 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns oï¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
14 years 2 months ago
Stochastic strategies for a swarm robotic assembly system
— We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predete...
Loic Matthey, Spring Berman, Vijay Kumar
ATAL
2009
Springer
14 years 2 months ago
Stigmergic landmark foraging
In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Nyree Lemmens, Karl Tuyls
DATE
2009
IEEE
88views Hardware» more  DATE 2009»
14 years 2 months ago
Program phase and runtime distribution-aware online DVFS for combined Vdd/Vbb scaling
Abstract—Complex software programs are mostly characterized by phase behavior and runtime distributions. Due to the dynamism of the two characteristics, it is not efï¬cient to m...
Jungsoo Kim, Sungjoo Yoo, Chong-Min Kyung