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» Heuristic Methods for Solving Job-Shop Scheduling Problems
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117
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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 9 months ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
141
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 4 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
CN
2008
106views more  CN 2008»
15 years 2 months ago
Optimization models and methods for planning wireless mesh networks
In this paper novel optimization models are proposed for planning Wireless Mesh Networks (WMNs), where the objective is to minimize the network installation cost while providing f...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Ila...
106
Voted
GECCO
2008
Springer
108views Optimization» more  GECCO 2008»
15 years 4 months ago
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike trad...
Paul M. Godley, David E. Cairns, Julie Cowie, Kevi...
136
Voted
CLUSTER
2006
IEEE
15 years 9 months ago
Robust task scheduling in non-deterministic heterogeneous computing systems
The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
Zhiao Shi, Emmanuel Jeannot, Jack Dongarra