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A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem
Faculty
Computer Science
Year:
2018
Type of Publication:
ZU Hosted
Pages:
Authors:
Ibrahiem Mahmoud Mohamed Elhenawy
Staff Zu Site
Abstract In Staff Site
Journal:
Future Generation Computer Systems North-Holland
Volume:
Keywords :
, hybrid whale optimization algorithm based , local
Abstract:
he flow shop scheduling problem is one of the most important types of scheduling with a large number of real-world applications. In this paper, we propose a new algorithm that integrates the Whale Optimization Algorithm (WOA) with a local s
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Department Related Publications
Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014
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Saber Mohamed, "Testing United Multi-Operator Evolutionary Algorithms on The CEC2014 Real-Parameter Numerical Optimization", IEEE, 2014
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Saber Mohamed, "GA with a New Multi-Parent Crossover for Constrained Optimization", IEEE, 2011
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Eman samir hasan sayed, "Decision Making Assessment for Site Selection Using the AHP and TOPSIS Methods", Statistical studies institution, Cairo University, Egypt, 2007
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Israa Abdel Ghaffar Salem Mohammed, "Estimating Bed Requirements for a Pediatric Department in a University Hospital in Egypt", Modern Management Science & Engineering, 2016
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