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ORCID2nd LION 2007: Trento, Italy
- Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson:
Learning and Intelligent Optimization, Second International Conference, LION 2007, Trento, Italy, December 8-12, 2007. Selected Papers. Lecture Notes in Computer Science 5313, Springer 2008, ISBN 978-3-540-92694-8 - Sameh Al-Shihabi
, Peter Merz, Steffen Wolf:
Nested Partitioning for the Minimum Energy Broadcast Problem. 1-11 - Enrico Bartolini, Vittorio Maniezzo, Aristide Mingozzi:
An Adaptive Memory-Based Approach Based on Partial Enumeration. 12-24 - Roberto Battiti, Mauro Brunato, Paolo Campigotto:
Learning While Optimizing an Unknown Fitness Surface. 25-40 - Mauro Brunato, Holger H. Hoos, Roberto Battiti:
On Effectively Finding Maximal Quasi-cliques in Graphs. 41-55 - Olivier Caelen, Gianluca Bontempi:
Improving the Exploration Strategy in Bandit Algorithms. 56-68 - Hadrien Cambazard, Narendra Jussien:
Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem. 69-80 - Yann Cooren, Amir Nakib, Patrick Siarry:
Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm. 81-94 - Teodor Gabriel Crainic, Michel Toulouse:
Explicit and Emergent Cooperation Schemes for Search Algorithms. 95-109 - Deon Garrett, Dipankar Dasgupta:
Multiobjective Landscape Analysis and the Generalized Assignment Problem. 110-124 - William E. Hart, Jonathan W. Berry, Erik G. Boman, Cynthia A. Phillips, Lee Ann Riesen, Jean-Paul Watson:
Limited-Memory Techniques for Sensor Placement in Water Distribution Networks. 125-137 - Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis:
A Hybrid Clustering Algorithm Based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure. 138-152 - Frank Neumann, Carsten Witt:
Ant Colony Optimization and the Minimum Spanning Tree Problem. 153-166 - Takao Ono, Mutsunori Yagiura, Tomio Hirata:
A Vector Assignment Approach for the Graph Coloring Problem. 167-176 - Lale Özbakir, Adil Baykasoglu, Sinem Kulluk:
Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications. 177-191 - Steven D. Prestwich:
Tuning Local Search by Average-Reward Reinforcement Learning. 192-205 - Stephen Remde, Peter I. Cowling, Keshav P. Dahal, Nic Colledge:
Evolution of Fitness Functions to Improve Heuristic Performance. 206-219 - Samuel Rota Bulò, Marcello Pelillo:
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs. 220-233 - Celso Tchao, Simone L. Martins:
Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling. 234-242
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