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(14)   

• A quantitative study of neutrality in GP boolean landscapes
  Leonardo Vanneschi and Yuri Pirola and Philippe Collard GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page895--902. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to measures, even programming, algorithms, fitness complexity performance genetic parity, neutrality, measures landscapes, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
  URL | BibTeX 
• A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
  Marco Tomassini and Leonardo Vanneschi and Philippe Collard and Manuel Clergue Evolutionary Computation13(2):213--239Summer2005.
  to genetic fitness correlation program algorithms, landscapes, distance problem difficulty, programming, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Principles in the Evolutionary Design of Digital Circuits-Part II
  Julian F. Miller and Dominic Job and Vesselin K. Vassilev Genetic Programming and Evolvable Machines1(3):259--288July2000.
  to programming, circuits, based evolvable algorithms, principle computing, extraction digital design, fitness evolutionary landscapes, case reasoning, circuit genetic hardware, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
  BibTeX 
• Digital Circuit Evolution and Fitness Landscapes
  Vesselin K. Vassilev and Julian F. Miller and Terence C. Fogarty Proceedings of the Congress on Evolutionary Computation, 2, Mayflower Hotel, Washington D.C., USA, IEEE Press, 6-9 July1999.
  to field idealised programmable combinatorial landscapes, gate engineering optimisation search, cell circuit problem, problems, characteristics, representation, evolution, fitness circuits, model, connectivity, logic digital arrays, alphabets, functionality, sequences, genotype optimisation, computation, array, sequences field-programmable correlation evolutionary by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms
  W. B. Langdon and Riccardo Poli IEEE Transactions on Evolutionary Computation11(5):561--578October2007.
  to local programming, XPS, genetic particle swarms (DE), algorithms, hill-climbers, DE, CMA-ES, search, Differential landscapes, PSO, evolution fitness by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Convergence of Program Fitness Landscapes
  W. B. Langdon Genetic and Evolutionary Computation -- GECCO-2003, volume2724ofLNCS, page1702--1714. Chicago, Springer-Verlag, 12-16 July2003.
  to amorphous route Neighborhood, programming map, fitness algorithms, modulo boolean point bit reversible random computing, expected computer, programming, mutation, genetic climbing, proof, computer runtime, flip landscapes, average general linear function, hill by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Convergence Rates for the Distribution of Program Outputs
  W. B. Langdon GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page812--819. New York, Morgan Kaufmann Publishers, 9-13 July2002.
  to Landscapes, Mutation Variation algorithms, eigenvalues, programming, Distance, analysis, time, Minorization, Random Average walk Fitness Markov Total convergence computer genetic by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Scaling of Program Tree Fitness Spaces
  W. B. Langdon Evolutionary Computation7(4):399--428Winter1999.
  to landscapes, stochastic regression, Carlo symbolic artificial Fe genetic algorithms, Santa sampling, nand gates, tree fitness programming, ant trail, search, Monte by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Fitness Landscapes and Difficulty in Genetic Programming
  Kenneth E. Kinnear, Jr. Proceedings of the 1994 IEEE World Conference on Computational Intelligence, 1, page142--147. Orlando, Florida, USA, IEEE Press, 27-29 June1994.
  to adaptive algorithms, theory, autocorrelation, basin problems, (artificial landscape genetic fitness landscapes, learning measures, random search walks, programming, depths, algorithm intelligence), walks by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• What Makes a Problem GP-Hard? Analysis of a Tunably Difficult Problem in Genetic Programming
  Jason M. Daida and Robert R. Bertram and Stephen A. Stanhope and Jonathan C. Khoo and Shahbaz A. Chaudhary and Omer A. Chaudhri and John A. Polito II Genetic Programming and Evolvable Machines2(2):165--191June2001.
  to landscapes, programming, test fitness genetic problem problems, algorithms, GP difficulty, theory by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Fitness Uniform Deletion for Robust Optimization
  S. Legg and M. Hutter Proc. Genetic and Evolutionary Computation Conference (GECCO'05), page1271--1278. Washington, OR, ACM SigEvo, (2005)
  to fitness, landscapes, evaluation, evolutionary, schemes, optimization, juergen, deletion, algorithm, selfadaptation by idsia and 1 other person on Mar 11, 2008, 2:52 PM
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• Tournament versus Fitness Uniform Selection
  S. Legg and M. Hutter and A. Kumar Proc. 2004 Congress on Evolutionary Computation (CEC'04), page2144--2151. Portland, OR, IEEE, (2004)
  to juergen, deceptive, computations, principles, schemes, multimodal, evolutionary, basic, working selection, evaluation, of, optimization, algorithm, problems, selfadaptation, fitness, landscapes, by idsia and 2 other people on Mar 11, 2008, 2:52 PM
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• Fitness Uniform Deletion for Robust Optimization
  S. Legg and M. Hutter Proc. Genetic and Evolutionary Computation Conference (GECCO'05), page1271--1278. Washington, OR, ACM SigEvo, (2005)
  to fitness, selfadaptation juergen, optimization, evaluation, deletion, algorithm, evolutionary, schemes, landscapes, by schaul and 1 other person on Feb 26, 2008, 11:58 AM
  URL | BibTeX 
• Tournament versus Fitness Uniform Selection
  S. Legg and M. Hutter and A. Kumar Proc. 2004 Congress on Evolutionary Computation (CEC'04), page2144--2151. Portland, OR, IEEE, (2004)
  to algorithm, of, selection, problems, optimization, schemes, juergen, fitness, multimodal, landscapes, working selfadaptation, evaluation, basic, principles, deceptive, computations, evolutionary, by schaul and 2 other people on Feb 26, 2008, 11:58 AM
  URL | BibTeX