@article{(Open Science Index):https://publications.waset.org/pdf/17096,
	  title     = {An Effective Genetic Algorithm for a Complex Real-World Scheduling Problem},
	  author    = {Anis Gharbi and  Mohamed Haouari and  Talel Ladhari and  Mohamed Ali Rakrouki},
	  country	= {},
	  institution	= {},
	  abstract     = {We address a complex scheduling problem arising in the wood panel industry with the objective of minimizing a quadratic function of job tardiness. The proposed solution strategy, which is based on an effective genetic algorithm, has been coded and implemented within a major Tunisian company, leader in the wood panel manufacturing. Preliminary experimental results indicate significant decrease of delivery times.
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {1990 - 1993},
	  ee        = {https://publications.waset.org/pdf/17096},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},