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AIPS
2009
13 years 6 months ago
An Optimal Temporally Expressive Planner: Initial Results and Application to P2P Network Optimization
Temporally expressive planning, an important class of temporal planning, has attracted much attention lately. Temporally expressive planning is difficult; few existing planners ca...
Ruoyun Huang, Yixin Chen, Weixiong Zhang
IEEESCC
2010
IEEE
13 years 8 months ago
Dynamic Composition of Services in Sensor Networks
Abstract—Service modeling and composition is a fundamental method for offering advanced functionality by combining a set of primitive services provided by the system. Unlike in t...
Sahin Cem Geyik, Boleslaw K. Szymanski, Petros Zer...
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
13 years 9 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
EOR
2006
135views more  EOR 2006»
13 years 4 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover
ISNN
2004
Springer
13 years 10 months ago
Rainfall-Runoff Correlation with Particle Swarm Optimization Algorithm
A reliable correlation between rainfall-runoff enables the local authority to gain more amble time for formulation of appropriate decision making, issuance of an advanced flood for...
Kwok-wing Chau