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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 10 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
ADHOC
2007
122views more  ADHOC 2007»
13 years 9 months ago
Minimum latency joint scheduling and routing in wireless sensor networks
Wireless sensor networks are expected to be used in a wide range of applications from environment monitoring to event detection. The key challenge is to provide energy efficient ...
Gang Lu, Bhaskar Krishnamachari
CCE
2008
13 years 9 months ago
A hierarchical decision procedure for productivity innovation in large-scale petrochemical processes
Maintaining the best quality is essential for the survival of a company in a globally competitive world. Six Sigma activity has been widely accepted as one of the most efficient a...
Chonghun Han, Minjin Kim, En Sup Yoon
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 9 months ago
A Performance Study of GA and LSH in Multiprocessor Job Scheduling
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
S. R. Vijayalakshmi, G. Padmavathi
EOR
2010
88views more  EOR 2010»
13 years 9 months ago
Mathematical programming approaches for generating p-efficient points
Abstract: Probabilistically constrained problems, in which the random variables are finitely distributed, are nonconvex in general and hard to solve. The p-efficiency concept has b...
Miguel A. Lejeune, Nilay Noyan