Performance Enhancement of Distributed Quasi Steady-State Genetic Algorithm

Autor: Patel, Rahila, Shrawankar, Urmila, Raghuwanshi, MM., Jaiswal, Anil N.

This paper proposes a new scheme for performance enhancement of distributed genetic algorithm (DGA). Initial population is divided in two classes i.e. female and male. Simple distance based clustering is used for cluster formation around females. For

Externí odkaz: http://arxiv.org/abs/1305.2830

Performance Evaluation of Dynamic Particle Swarm Optimization

Autor: Urade, Hemlata S., Patel, Rahila

Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Unconstrained optimization problems can be formulated as a D

Externí odkaz: http://hdl.handle.net/10150/283597

Ensemble of Dying Strategies Based Multi-objective Genetic Algorithm.

Autor: Patel, Rahila, Raghuwanshi, M. M., Malik, L. G.

Publikováno v: Swarm, Evolutionary & Memetic Computing: 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part I; 2013, p492-503, 12p

Review on Sinkhole Detection Techniques in Mobile Adhoc Network.

Autor: Gandhewar, Nisarg, Patel, Rahila

Publikováno v: Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 (9788132204862); 2012, p535-548, 14p

Decomposition Based Multi-objective Genetic Algorithm (DMOGA) with Opposition Based Learning.

Autor: Patel, Rahila, Raghuwanshi, M.M., Malik, L.G.

Publikováno v: 2012 Fourth International Conference on Computational Intelligence & Communication Networks; 1/ 1/2012, p605-610, 6p