2001 EVOLUTIONARY COMPUTATION genetic algorithm AI ROBOTICS neural networks MORE

• Title: Evolutionary Computation
• Date: Winter 2001
• Pagination: pp387–526
• Condition: Like new; light shelf wear and creasing at corners of rear cover

The technical journal from MIT Press on genetic algorithms, genetic programming, neural networks and other applications and theory of metaheuristic machine learning.

• Learning to solve planning problems by means of genetic programming
• Optical coating designs using the family competition evolutionary algorithm
• Evolutionary driver scheduling with relief chains
• Empirical modeling of genetic algorithms
• Evolution of adaptive synapses: Robots with fast adaptive behavior in new environments
• and more

[OCR is approximate, as always]

Articles

Learning to Solve Planning Problems Efficiently by Means of Genetic ProgrammingRicardo Aler, Daniel Borrajo, and Pedro Isasi387Optical Coating Designs Using the Family Competition EvolutionaryAlgorithmJinn-Moon Yang. Jorng-Tzong Horng, Chih-Jen Lin, and Cheng-Yan Kao421Evolutionary Driver Scheduling with Relief ChainsRaymond S. K. Kwan, Ann S. K. Kwan, and Anthony Wren445Empirical Modelling of GeneticAlgorithmsRichard Myers and Edwin R. Hancock461Evolution of Adaptive Synapses:Robots with Fast Adaptive Behavior in New EnvironmentsJoseba Urzelai and Dario Floreano495Erratum: Form Invariance andImplicit ParallelismMichael D. Vose and Alden H. Wright525Electronic Calendar and OtherEC-Related Activities

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