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» Efficient Algorithms for Online Decision Problems
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ESA
2008
Springer
134views Algorithms» more  ESA 2008»
13 years 10 months ago
Improved Randomized Results for That Interval Selection Problem
Online interval selection is a problem in which intervals arrive one by one, sorted by their left endpoints. Each interval has a length and a non-negative weight associated with i...
Leah Epstein, Asaf Levin
AAAI
2008
13 years 11 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 22 days ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
ALGORITHMICA
2010
107views more  ALGORITHMICA 2010»
13 years 9 months ago
A Universal Online Caching Algorithm Based on Pattern Matching
We present a universal algorithm for the classical online problem of caching or demand paging. We consider the caching problem when the page request sequence is drawn from an unkn...
Gopal Pandurangan, Wojciech Szpankowski
GECCO
2010
Springer
213views Optimization» more  GECCO 2010»
13 years 9 months ago
Consultant-guided search algorithms for the quadratic assignment problem
Abstract. Consultant-Guided Search (CGS) is a recent swarm intelligence metaheuristic for combinatorial optimization problems, inspired by the way real people make decisions based ...
Serban Iordache