Computer simulations of genetic adaptation: parallel subcomponent interaction in a multilocus model
- Author:
- Paul Bryant Grosso
Abstract
No abstract available.
Cited By
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- Nogueras R and Cotta C (2018). Analyzing self-? island-based memetic algorithms in heterogeneous unstable environments, International Journal of High Performance Computing Applications, 32:5, (676-692), Online publication date: 1-Sep-2018.
Kán P and Kaufmann H Automated interior design using a genetic algorithm Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, (1-10)- Brady A, Lawrence J, Peers P and Weimer W (2014). genBRDF, ACM Transactions on Graphics, 33:4, (1-11), Online publication date: 27-Jul-2014.
- Siva Sathya S and Radhika M (2013). Convergence of nomadic genetic algorithm on benchmark mathematical functions, Applied Soft Computing, 13:5, (2759-2766), Online publication date: 1-May-2013.
- Schulte E, DiLorenzo J, Weimer W and Forrest S (2013). Automated repair of binary and assembly programs for cooperating embedded devices, ACM SIGPLAN Notices, 48:4, (317-328), Online publication date: 23-Apr-2013.
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- Yusof R, Khalid M, Hui G, Md Yusof S and Othman M (2011). Solving job shop scheduling problem using a hybrid parallel micro genetic algorithm, Applied Soft Computing, 11:8, (5782-5792), Online publication date: 1-Dec-2011.
- Tsuji M, Munetomo M and Akama K Empirical investigations on parallel competent genetic algorithms Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1073-1080)
- delaOssa L, Gámez J and Puerta J Improvement in the performance of island based genetic algorithms through path relinking Proceedings of the Third international conference on Hybrid Metaheuristics, (42-56)
- Kapanoglu M and Koc I A multi-population parallel genetic algorithm for highly constrained continuous galvanizing line scheduling Proceedings of the Third international conference on Hybrid Metaheuristics, (28-41)
- Xiao N and Armstrong M A specialized island model and its application in multiobjective optimization Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1530-1540)
- Rivera W (2001). Scalable Parallel Genetic Algorithms, Artificial Intelligence Review, 16:2, (153-168), Online publication date: 1-Oct-2001.
- Cantú-Paz E (2001). Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms, Journal of Heuristics, 7:4, (311-334), Online publication date: 1-Jul-2001.
- Kuo T and Hwang S (1997). Using Disruptive Selection to Maintain Diversity in GeneticAlgorithms, Applied Intelligence, 7:3, (257-267), Online publication date: 1-Jul-1997.
- Smith R, Forrest S and Perelson A (1993). Searching for diverse, cooperative populations with genetic algorithms, Evolutionary Computation, 1:2, (127-149), Online publication date: 1-Jun-1993.
- Beasley D, Bull D and Martin R (1993). A sequential niche technique for multimodal function optimization, Evolutionary Computation, 1:2, (101-125), Online publication date: 1-Jun-1993.
- Humphrey S and Krovetz B (1986). SELECTED AI-RELATED DISSERTATIONS, ACM SIGART Bulletin:96, (57-60), Online publication date: 1-Apr-1986.
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