Bio Inspired Algorithms: An Efficient Approach for Resource Scheduling in Cloud Computing
暂无分享,去创建一个
[1] Mohamed Abdel-Baset,et al. A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems , 2014 .
[2] Xin-She Yang,et al. Multi-Objective Flower Algorithm for Optimization , 2014, ICCS.
[3] Saloni Jain,et al. Efficient Optimal Algorithm of Task Scheduling in Cloud Computing Environment , 2014, ArXiv.
[4] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[5] Xin-She Yang,et al. Nature-Inspired Optimization Algorithms: Challenges and Open Problems , 2020, J. Comput. Sci..
[6] Rodica Ioana Lung,et al. Nature Inspired Cooperative Strategies for Optimization, NICSO 2011, Cluj-Napoca, Romania, October 20-22, 2011 , 2012, NISCO.
[7] Saeed Tavakoli,et al. Improved Cuckoo Search Algorithm for Global Optimization , 2011 .
[8] Satchidananda Dehuri,et al. Evolutionary Algorithms for Multi-Criterion Optimization: A Survey , 2004 .
[9] Antony Selvadoss Thanamani,et al. Scheduling in High Performance Computing Environment using Firefly Algorithm and Intelligent Water Drop Algorithms , 2014 .
[10] Melanie Mitchell,et al. An introduction to genetic algorithms , 1996 .