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ROBOCUP
2007
Springer
102views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
Luiz A. Celiberto, Carlos H. C. Ribeiro, Anna Hele...
MCS
2007
Springer
13 years 11 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
LION
2007
Springer
139views Optimization» more  LION 2007»
13 years 11 months ago
Evolution of Fitness Functions to Improve Heuristic Performance
In this paper we introduce the variable fitness function which can be used to control the search direction of any search based optimisation heuristic where more than one objective ...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
CP
2007
Springer
13 years 11 months ago
Min-Domain Ordering for Asynchronous Backtracking
Ordering heuristics are a powerful tool in CSP search algorithms. Among the most successful ordering heuristics are heuristics which enforce a fail first strategy by using the mi...
Roie Zivan, Moshe Zazone, Amnon Meisels
AE
2007
Springer
13 years 11 months ago
Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework
We present GP-HH, a framework for evolving local-search 3-SAT heuristics based on GP. The aim is to obtain “disposable” heuristics which are evolved and used for a specific su...
Mohamed Bahy Bader-El-Den, Riccardo Poli
CEC
2007
IEEE
13 years 11 months ago
An investigation of hyper-heuristic search spaces
— Hyper-heuristics or “heuristics that coordinate heuristics” are fastly becoming popular for solving combinatorial optimisation problems. These methods do not search directl...
José Antonio Vázquez Rodrígue...
CEC
2007
IEEE
13 years 11 months ago
A histogram-matching approach to the evolution of bin-packing strategies
Abstract— We present a novel algorithm for the onedimension offline bin packing problem with discrete item sizes based on the notion of matching the item-size histogram with the...
Riccardo Poli, John Woodward, Edmund K. Burke
ASWEC
2007
IEEE
13 years 11 months ago
Supporting OO Design Heuristics
Heuristics have long been recognised as a way to tackle problems which are intractable because of their size or complexity. They have been used in software engineering for purpose...
Neville Churcher, Sarah Frater, Cong Phuoc Huynh, ...
IEEEPACT
2008
IEEE
13 years 11 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...