Improving multi-agent based scheduling by neurodynamic programming

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3131, Issue , 2003, Pages 110-123

  Csáji, Balázs Csanád ^a   Kádár, Botond ^a   Monostori, László ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; DECISION MAKING; JOB SHOP SCHEDULING; LEARNING SYSTEMS; MANUFACTURE; OPTIMIZATION; PROBLEM SOLVING; REINFORCEMENT LEARNING; SCHEDULING; SIMULATED ANNEALING;

ADAPTATION METHODS; MACHINE LEARNING TECHNIQUES; MANUFACTURING CONTROL; MULTI AGENT; MULTIAGENT ARCHITECTURE; NEURO DYNAMIC PROGRAMMING; SCHEDULING PROBLEM; UNCERTAIN ENVIRONMENTS;

MULTI AGENT SYSTEMS;

EID: 84948958922     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

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