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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 29 days ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
DATE
2002
IEEE
105views Hardware» more  DATE 2002»
14 years 12 days 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
IJCAI
2007
13 years 8 months ago
On Modeling Multiagent Task Scheduling as a Distributed Constraint Optimization Problem
This paper investigates how to represent and solve multiagent task scheduling as a Distributed Constraint Optimization Problem (DCOP). Recently multiagent researchers have adopted...
Evan Sultanik, Pragnesh Jay Modi, William C. Regli
IJAIT
2008
99views more  IJAIT 2008»
13 years 7 months ago
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming
Instruction scheduling is one of the most important steps for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction sch...
Abid M. Malik, Jim McInnes, Peter van Beek
AAAI
2006
13 years 8 months ago
Optimal Scheduling of Contract Algorithms for Anytime Problems
A contract algorithm is an algorithm which is given, as part of the input, a specified amount of allowable computation time. The algorithm must then compute a solution within the ...
Alejandro López-Ortiz, Spyros Angelopoulos,...