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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 8 months 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»
15 years 8 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
IJCAI
2007
15 years 4 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»
15 years 3 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
15 years 4 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,...