[Higlited Topic here] === even-n-parity with only EQ and XOR logic === [related basic research on this topic] (OK => Gecco2004ws_CountingSolutions.pdf) M. Collins (2004) "Counting Solutions in Reduced Boolean Parity" GECCO 2004 --- olmost equivalent and better version of [2] M. Collins (2004) Monte Carlo Sampling and counting Solutions in Reduced Boolean Parity Monte-Carlo-Sampling-and-counting-Solutions-in-Reduced-Boolean-Parity EDI-INF-RR-0240 http://www.inf. ed.ac.uk/publications/report -> only list not paper (OK=> langdon98boolean.pdf) W. Langdon. R. Poli. Boolean Functions Fitness Spaces 1997. University of Birmingham Technical Report CSRP-98-16. W. Langon and R. Poli (1997) Boolean Func tions Fitness Spaces University of birmingham Tech Report -- CSRP-98-16 --- T. Yu and J. Miller (2002) Finding needles ... pp. 13-25 even-12-parity more than 55 success from 100 runs each of a only max of 10,000 iterations while with random search never succeeded in 4,000,000 trials. (OK => neurtrality.pdf) T. Yu and J. Miller (2001) Neutrality and the Evolvability of Boolean Function Landscape Proc. of the 4th European Conference on Genetic Programming pp. 204-217 => let's google search T. Yu and J. Miller (2002) "Climbing Unimodal Landscapes with Neutrality: A Case Study of the OneMax Problem" (1 page) => where is full paper version => google -> seems no Climbing-Unimodal-Landscapes-with-Neutrality: ------------ 1 eq 1 eq 1 000 -> 00 10 0 010 -> 01 00 1 101 -> 10 01 0 111 -> 11 11 1 (OK) [1] Tina Yu and Julian Miller (2002) Finding Needles in Haystacks is Not Hard with Neutrality Proc. of EuroGP, LNCS 2278, pp 13-25 vs M. Collins (2005) Finding Needles in Haystacks is Harder with Neutrality. Proceedings of the conference on Genetic and evolutionary computation pp. 1613--1618 Neutrality-and-the-Evolvabilty-of-Boolean-Function-Landscapes Proceedings of the Fourth European Conference on Genetic Programming. 2001. How Many Needles in Your Haystacks relating [1] [3] J. Miller "An empirical study of the efficiency of learing boolean function using a Cartesian _Genetic Programming approach." Proc. of 3rd European Conference on Genetic Programming. pp. 121-132. [5] T. Yu and J. Miller Neutrality and the Evolvability of Boolean Function Landscapes." Proc of the 4th European Conference on Genetic Programming. [Other Topics on analysis of Fitness Landscapes] === QAP === (OK => merz99fitness.pdf) P. Merz and B. Freisleben Fitness Landscape Analysis and Memetic Algorithms for the Quadratic Assignment Problem. === OneMax problem === (OK => climbing-unimordal-landscape-with.pdf) T. Yu and J. Miller Climbing Unimodal Landscapes with Neutrality: A Case Study of the ONeMax Problem === TSP === (OK => fonlupt99fitness.pdf) C. Fonlupt et al. Fitness Landscapes and performance of Meta-heuristics [google with fitness-landscape needle hay] [PDF] The Schema Theorem and Price's Theorem ファイルタイプ: PDF/Adobe Acrobat - HTMLバージョン The Schemata (more hay) will not be any more likely to have The high fitness of The needle. it is The quality of The search that must be used to ... of The fitness landscape. in RK Belew and LB Booker, editors, Proceedings of The Fourth ... www-advancedgec.ge.uiuc.edu/papers/ Schema%20Theorem%20&%20Price's%20Theorem.pdf (OK) [PDF] Evolving A Sense Of Valency ファイルタイプ: PDF/Adobe Acrobat - HTMLバージョン effect is limited to “needle-in-the-hay-stack”problems where it is hard to search for the. solution. Since then many researchers have dealt with ... represented by a singularity within the fitness landscape and hence difficult to be lo- ... www.inf.ed.ac.uk/publications/ thesis/online/IM040177.pdf - 関連ページ (OK) The-Use-of-Neutral-Genotype-Phenotype-Mappings-for-Improved R. Shipman, M. Shackleton and I. Harvey (2000): The use of neutral genotype-phenotype mappings for improved evolutionary search BT Technology Journal, v. 18 no. 4, pp. 103-111, October 2000. ISSN 1358-3948. => suspended because it took a long time http://www.cyber.reading.ac.uk/common/publications/01408.pdf -> also take a long time -> suspend? ------- from reference in [1] [2] Ebner, M., Langguth, P., Albert, J., Shackleton, M. and Shipman, R. On neutral networks and evolvability. Proceedings of the 2001 Congress on Evolutionary Computation, IEEE Press (2001) 1-8. On-neutral-networks-and-evolvability --- http://www.ingentaconnect.com/content/mitpress/evco/2002/00000010/00000001/ art00002?token=00601b8125ee3baa2ca7630504c2a726e2d58464340592f713b672c57582 a67232d45237b6d7a317b592c74795648280 10.00usd --- or ieee http://intl.ieeexplore.ieee.org/xpl/abs_free.jsp?arNumber=934363 [12] Yu, T. and Miller, J.: Neutrality and the evolvability of Boolean function landscape. In: Proceedings of the Fourth European Conference on Genetic Programming. Springer-Verlag (2001) 204-217.