| http://dbpedia.org/ontology/abstract
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MCACEA (Multiple Coordinated Agents Coevol … MCACEA (Multiple Coordinated Agents Coevolution Evolutionary Algorithm) is a general framework that uses a single evolutionary algorithm (EA) per agent sharing their optimal solutions to coordinate the evolutions of the EAs populations using cooperation objectives. This framework can be used to optimize some characteristics of multiple cooperating agents in mathematical optimization problems. More specifically, due to its nature in which both individual and cooperation objectives are optimize, MCACEA is used in multi-objective optimization problems. in multi-objective optimization problems.
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http://dbpedia.org/resource/Category:Evolutionary_computation +
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, http://dbpedia.org/resource/Evolutionary_algorithm +
, http://dbpedia.org/resource/Evolutionary_computation +
, http://dbpedia.org/resource/Evolutionary_robotics +
, http://dbpedia.org/resource/Developmental_biology +
, http://dbpedia.org/resource/Java_Evolutionary_Computation_Toolkit +
, http://dbpedia.org/resource/Mathematical_optimization +
, http://dbpedia.org/resource/Paradiseo +
, http://dbpedia.org/resource/MOEA_Framework +
, http://dbpedia.org/resource/Fitness_landscape +
, http://dbpedia.org/resource/Fitness_approximation +
, http://dbpedia.org/resource/Fitness_function +
, http://dbpedia.org/resource/Category:Mathematical_optimization +
, http://dbpedia.org/resource/Multi-objective_optimization +
, http://dbpedia.org/resource/Genetic_operators +
, http://dbpedia.org/resource/Unmanned_aerial_vehicles +
, http://dbpedia.org/resource/Interactive_evolutionary_computation +
, http://dbpedia.org/resource/Artificial_development +
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| http://purl.org/dc/terms/subject
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http://dbpedia.org/resource/Category:Evolutionary_computation +
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| rdfs:comment |
MCACEA (Multiple Coordinated Agents Coevol … MCACEA (Multiple Coordinated Agents Coevolution Evolutionary Algorithm) is a general framework that uses a single evolutionary algorithm (EA) per agent sharing their optimal solutions to coordinate the evolutions of the EAs populations using cooperation objectives. This framework can be used to optimize some characteristics of multiple cooperating agents in mathematical optimization problems. More specifically, due to its nature in which both individual and cooperation objectives are optimize, MCACEA is used in multi-objective optimization problems. in multi-objective optimization problems.
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| rdfs:label |
MCACEA
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