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FSTTCS
2006
Springer
15 years 7 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
EOR
2008
200views more  EOR 2008»
15 years 3 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 1 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
176
Voted
IMCSIT
2010
15 years 17 days ago
Effectiveness of Solving Traveling Salesman Problem Using Ant Colony Optimization on Distributed Multi-Agent Middleware
Recently we have setup the goal of investigating new truly distributed forms of Ant Colony Optimization. We proposed a new distributed approach for Ant Colony Optimization (ACO) al...
Sorin Ilie, Costin Badica
IROS
2006
IEEE
105views Robotics» more  IROS 2006»
15 years 9 months ago
Combinatorial Optimization of Sensing for Rule-Based Planar Distributed Assembly
Abstract— We describe a model for planar distributed assembly, in which agents move randomly and independently on a twodimensional grid, joining square blocks together to form a ...
Jonathan Kelly, Hong Zhang