@article{(Open Science Index):https://publications.waset.org/pdf/11073,
	  title     = {The Multi-scenario Knapsack Problem: An Adaptive Search Algorithm},
	  author    = {Mhand Hifi and  Hedi Mhalla and  Mustapha Michaphy},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we study the multi-scenario knapsack problem, a variant of the well-known NP-Hard single knapsack problem. We investigate the use of an adaptive algorithm for solving heuristically the problem. The used method combines two complementary phases: a size reduction phase and a dynamic 2- opt procedure one. First, the reduction phase applies a polynomial reduction strategy; that is used for reducing the size problem. Second, the adaptive search procedure is applied in order to attain a feasible solution Finally, the performances of two versions of the proposed algorithm are evaluated on a set of randomly generated instances.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {11},
	  year      = {2010},
	  pages     = {1772 - 1775},
	  ee        = {https://publications.waset.org/pdf/11073},
	  url   	= {https://publications.waset.org/vol/47},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 47, 2010},
	}