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IJAMCIGI
2010
90views more  IJAMCIGI 2010»
14 years 11 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...
GECCO
2006
Springer
163views Optimization» more  GECCO 2006»
15 years 5 months ago
The quadratic multiple knapsack problem and three heuristic approaches to it
The quadratic multiple knapsack problem extends the quadratic knapsack problem with K knapsacks, each with its own capacity Ck. A greedy heuristic fills the knapsacks one at a tim...
Amanda Hiley, Bryant A. Julstrom
AIPS
2011
14 years 5 months ago
Effective Heuristics and Belief Tracking for Planning with Incomplete Information
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Alexandre Albore, Miquel Ramírez, Hector Ge...
87
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PIMRC
2008
IEEE
15 years 8 months ago
Constrained opportunistic power control in wireless networks
— In the opportunistic power control algorithm (OPC), designed in [1], [2], each user tries to keep the product of its transmit power and its experienced effective interference t...
Mehdi Rasti, Ahmad R. Sharafat
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
15 years 10 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...