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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 1 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
WSC
2008
14 years 11 months ago
Concurrent simulation and optimization models for mining planning
One of the most important challenges for mining engineers is to correctly analyze and generate short-term planning schedules, or simply month mining plan. The objective is to demo...
Marcelo Moretti Fioroni, Luiz Augusto Gago Franzes...
JUCS
2008
153views more  JUCS 2008»
14 years 9 months ago
Bus Network Optimization with a Time-Dependent Hybrid Algorithm
: This paper describes a new hybrid technique that combines a Greedy Randomized Adaptive Search Procedure (GRASP) and a genetic algorithm with simulation features in order to solve...
Ana C. Olivera, Mariano Frutos, Jessica Andrea Car...
DATE
2002
IEEE
105views Hardware» more  DATE 2002»
15 years 2 months ago
Power-Manageable Scheduling Technique for Control Dominated High-Level Synthesis
Optimizing power consumption at high-level is a critical step towards power-efficient digital system designs. This paper addresses the power management problem by scheduling a giv...
Chunhong Chen, Majid Sarrafzadeh
IPPS
2007
IEEE
15 years 3 months ago
A hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...
André Renato Villela da Silva, Luiz Satoru ...