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» Game Theory Using Genetic Algorithms
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ATAL
2001
Springer
14 years 29 days ago
A Stable and Feasible Payoff Division for Coalition Formation in a Class of Task Oriented Domains
In the last few years the use of coalition formation algorithms in multi-agent systems has been proposed as a possible way of modelling autonomous agent cooperation. Game theory pr...
María-Victoria Belmonte, Ricardo Conejo, Jo...
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 10 days ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria
AAMAS
2011
Springer
13 years 3 months ago
Benchmarking hybrid algorithms for distributed constraint optimisation games
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...
FECS
2006
159views Education» more  FECS 2006»
13 years 10 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...
SAC
1998
ACM
14 years 21 days ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...