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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
JAIR
2008
145views more  JAIR 2008»
13 years 8 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
13 years 6 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski