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 Programming Ricardo Aler, Daniel Borrajo, and Pedro Isasi 387 Optical Coating Designs Using the Family Competition Evolutionary Algorithm Jinn-Moon Yang. Jorng-Tzong Horng, Chih-Jen Lin, and Cheng-Yan Kao 421 Evolutionary Driver Scheduling with Relief Chains Raymond S. K. Kwan, Ann S. K. Kwan, and Anthony Wren 445 Empirical Modelling of Genetic Algorithms Richard Myers and Edwin R. Hancock 461 Evolution of Adaptive Synapses: Robots with Fast Adaptive Behavior in New Environments Joseba Urzelai and Dario Floreano 495 Erratum: Form Invariance and Implicit Parallelism Michael D. Vose and Alden H. Wright 525 Electronic Calendar and Other EC-Related Activities
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