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ESANN
2008
15 years 7 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
164
Voted
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
15 years 11 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
EVOW
2006
Springer
15 years 9 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
AGENTS
1997
Springer
15 years 10 months ago
Progressive Negotiation For Time-Constrained Autonomous Agents
We address in this paper a problem of autonomous agents performing in a common environment where each agent has its goal to achieve before a given deadline. Agents must be able to...
Abdel-Illah Mouaddib
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 7 days ago
Quick-and-dirty ant colony optimization
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...
Paola Pellegrini, Elena Moretti