ICEC 1994:
Orlando, Florida, USA
Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, June 27-29, 1994, Orlando, Florida, USA. IEEE, ISBN 0-7803-1899-4
Applications Of Evolutionary Computation In Operations Research
- Hisashi Tamaki, Hajime Kita, Nobuhiko Shimizu, Keiji Maekawa, Yoshikazu Nishikawa:
A Comparison Study of Genetic Codings for the Traveling Salesman Problem.
1-6
- Thang Nguyen Bui, Byung Ro Moon:
A New Genetic Approach for the Traveling Salesman Problem.
7-12
- Robert Hinterding:
Mapping, Order-Independent Genes and the Knapsack Problem.
13-17
- Parthasarathy Guturu, Ammanamanchi Srinivasa Murthy, V. U. K. Sastry:
Clique Finding - A Genetic Approach.
18-21
- Harpal Maini, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
Knowledge Based Nonuniform Crossover.
22-27
Evolutionary Computation And Fuzzy Systems
- Frank Klawonn, Jens Kinzel, Rudolf Kruse:
Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers.
28-33
- James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid:
Genetic Algorithm Guided Clustering.
34-39
- Thomas Bäck, Ulrich Hammel:
Evolution Strategies Applied to Perturbed Objective Functions.
40-45
- Frederick E. Petry, Bill P. Buckles, Dev Prabhu, Roy George, Radhakrishnan Srikanth:
Fuzzy Clustering With Genetic Search.
46-50
- Andrea Bonarini:
Evolutionary Learning of General Fuzzy Rules with Biased Evaluation Functions: Competition and Cooperation.
51-56
Evolutionary Computation Theory
- Thomas Bäck:
Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms.
57-62
- Günter Rudolph:
Convergence of Non-Elitist Strategies.
63-66
- Samir W. Mahfoud:
Genetic Drift in Sharing Methods.
67-72
Representation And Operations
Applications Of Evolutionary Computation In VLSI And Electronics
Applications Of Evolutionary Computation In Machine Learning
Genetic Programming:
Theory
Representation And Operators
Applications Of Evolutionary Computation In Robotics And Manufacturing
Applications Of Evolutionary Computation In Machine Learning
Genetic Programming Extensions
- John R. Koza:
Recognizing Patterns in Protein Sequences Using Iteration-Performing Calculations in Genetic Programming.
245-249
- David Andre:
Evolution of Mapmaking: Learning, Planning, and Memory Using Genetic Programming.
250-255
- Patrik D'haeseleer:
Context Preserving Crossover in Genetic Programming.
256-261
- Craig W. Reynolds:
The Difficulty of Roving Eyes.
262-267
- Gerhard Weiß:
Neural Networks and Evolutionary Computation. PartI: Hybrid Approaches in Artificial Intelligence.
268-272
- Gerhard Weiß:
Neural Networks and Evolutionary Computation. PartII: Hybrid Approaches in the Neurosciences.
273-277
- Heinrich Braun, Peter Zagorski:
Enzo-II-A Powerful Design Tool to Evolve Multilayer Feed Forward Networks.
278-283
- Zoran Obradovic, Rangarajan Srikumar:
Evolutionary Design of Application Tailored Neural Networks.
284-289
- Mukesh Patel, Vittorio Maniezzo:
NN'S and GA'S: Evolving Co-Operative Behaviour in Adaptive Learning Agents.
290-295
Applications Of Evolutionary Comutation In Operations Research
Genetic Programming:
Analysis And Control
- Byoung-Tak Zhang, Heinz Mühlenbein:
Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming.
318-323
- Samy Bengio, Yoshua Bengio, Jocelyn Cloutier:
Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks.
324-327
- Marc S. Atkin, Paul R. Cohen:
Learning Monitoring Strategies: A Difficult Genetic Programming Application.
328-332
- Ming-Yi Lay:
Application of Genetic Programming in Analyzing Multiple Steady States of Dynamical Systems.
333-336
- Hugo de Garis:
The Genetic Programming of an Artificial Brain Which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine.
337-339
Applications Of Evolutionary Computation In Information Sciences
Comparing Algorithms
Genetic Programming
Parallel Evolutionary Compution
Comparing Algorithms
- Keith E. Mathias, Darrell Whitley:
Initial Performance Comparisons for the Delta Coding Algorithm.
433-438
- F. Greene:
A Method for Utilizing Diploid/Dominance in Genetic Search.
439-444
- Roberto Piola:
Evolutionary Solutions to a Highly Constrained Combinatorial Problem.
445-449
- Jin-Kao Hao, Raphaël Dorne:
An Empirical Comparison of Two Evolutionary Methods for Satisfiability Problems.
451-455
Genetic Programming
Evolutionary Computation And Neural Networks
Evolutionary Computation Theory
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