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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 6 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
15 years 4 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»
15 years 1 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 6 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 8 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 ...