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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
15 years 10 months ago
A Non-Linear Schema Theorem for Genetic Algorithms
We generalize Holland's Schema Theorem to the setting that genes are arranged, not necessarily in a linear sequence, but as the nodes in a connected graph. We have experiment...
William A. Greene
SWARM
2008
SPRINGER
108views Optimization» more  SWARM 2008»
15 years 6 months ago
A framework of space-time continuous models for algorithm design in swarm robotics
Designing and analyzing self-organizing systems such as robotic swarms is a challenging task even though we have complete knowledge about the robot's interior. It is difficul...
Heiko Hamann, Heinz Wörn
ISDA
2008
IEEE
16 years 1 months ago
Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) ...
Millie Pant, Radha Thangaraj, Ajith Abraham
SIAMCO
2000
117views more  SIAMCO 2000»
15 years 6 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn
STOC
2005
ACM
174views Algorithms» more  STOC 2005»
16 years 7 months ago
On the average case performance of some greedy approximation algorithms for the uncapacitated facility location problem
In combinatorial optimization, a popular approach to NP-hard problems is the design of approximation algorithms. These algorithms typically run in polynomial time and are guarante...
Abraham Flaxman, Alan M. Frieze, Juan Carlos Vera