Search Results - "Essam, D."
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A recovery model for a two-echelon serial supply chain with consideration of transportation disruption
Published in Computers & industrial engineering (01-02-2013)“…► We model a two-stage supply chain system subject to transportation disruption. ► We develop a recovery mechanism that determines the new schedule in real…”
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A disruption recovery model for a single stage production-inventory system
Published in European journal of operational research (01-11-2012)“…► Develop a disruption recovery model for a production and inventory system. ► The model is suitable for the system experiences a sudden disruption. ► Proposed…”
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Maternal status of trace elements and risk of neural tube defects in offspring: a meta-analysis of 6121 pregnancies
Published in Brain & spine (2022)Get full text
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Representation and structural difficulty in genetic programming
Published in IEEE transactions on evolutionary computation (01-04-2006)“…Standard tree-based genetic programming suffers from a structural difficulty problem in that it is unable to search effectively for solutions requiring very…”
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A recovery model for an economic production quantity problem with disruption
Published in 2010 IEEE International Conference on Industrial Engineering and Engineering Management (01-12-2010)“…Supply chains face risks from various unexpected events that make disruptions almost inevitable. This paper presents a disruption recovery model for a single…”
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Conference Proceeding -
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A Rare Case of Microblading Complicated by Orbital Exenteration and Frontal Defect Reconstructed Using Crane Principle
Published in Plastic and reconstructive surgery. Global open (01-03-2023)“…This is a case of a rare complication of microblading in a middle-aged woman in a developing country, resulting in a right orbital exenteration and a forehead…”
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An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems
Published in IEEE transactions on industrial informatics (01-02-2013)“…Many real-world optimization problems are difficult to solve as they do not possess the nice mathematical properties required by the exact algorithms…”
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Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment
Published in IEEE transactions on evolutionary computation (01-10-2012)“…In this paper, we have proposed a progressive alignment method using a genetic algorithm for multiple sequence alignment, named GAPAM. We have introduced two…”
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Managing supply disruption in a three-tier supply chain with multiple suppliers and retailers
Published in 2014 IEEE International Conference on Industrial Engineering and Engineering Management (01-12-2014)“…In this paper, a supply disruption management model is introduced in a three-tier supply chain with multiple suppliers and retailers, where the system may face…”
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Conference Proceeding -
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Grammar model-based program evolution
Published in Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) (2004)“…In evolutionary computation, genetic operators, such as mutation and crossover, are employed to perturb individuals to generate the next population. However…”
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Synthesis and spectroscopic properties of some new N,N'-disubstituted thiorueas of potential biological interest
Published in Journal of heterocyclic chemistry (01-01-1985)“…Thirty‐six new N,N'‐disubstituted thioureas have been synthesized by the reaction of phenyl‐, p‐fluorophenyl‐ and benzoylisothiocyanates with various…”
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Dependency Identification technique for large scale optimization problems
Published in 2012 IEEE Congress on Evolutionary Computation (01-06-2012)“…Large scale optimization problems are very challenging problems. Most of the recently developed optimization algorithms lose their efficiency when the…”
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Conference Proceeding -
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On Synergistic Interactions Between Evolution, Development and Layered Learning
Published in IEEE transactions on evolutionary computation (01-06-2011)“…We investigate interactions between evolution, development and lifelong layered learning in a combination we call evolutionary developmental evaluation (EDE),…”
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Solving the symbolic regression problem with tree-adjunct grammar guided genetic programming: the comparative results
Published in Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) (2002)“…In this paper, we show some experimental results of tree-adjunct grammar-guided genetic programming (TAG3P) on the symbolic regression problem, a benchmark…”
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Conference Proceeding -
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Program evolution with explicit learning
Published in The 2003 Congress on Evolutionary Computation, 2003. CEC '03 (2003)“…In genetic programming (GP) and most other evolutionary computing approaches, the knowledge learned during the evolutionary processing is implicitly encoded in…”
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Conference Proceeding -
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Adaptive control of partial functions in genetic programming
Published in Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) (2001)“…The paper investigates the use of partial functions in genetic programming. Previous work (R.I. McKay, 2000), has shown that the convergent behaviour of…”
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Conference Proceeding -
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Multi-heuristics based Genetic Algorithm for solving maritime inventory routing problem
Published in 2011 IEEE International Conference on Industrial Engineering and Engineering Management (01-12-2011)“…This paper discusses a multi-heuristics based Genetic Algorithm (GA) to solve maritime inventory routing problems (mIRP). The problem is to transport multiple…”
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Memetic multi-topology particle swarm optimizer for constrained optimization
Published in 2012 IEEE Congress on Evolutionary Computation (01-06-2012)“…During the last two decades, a considerable number of particle swarm variants have been introduced. However, no single variant consistently performed well over…”
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Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem
Published in 2012 IEEE Congress on Evolutionary Computation (01-06-2012)“…Over the last few decades, real world constrained optimization has become an important research topic in the evolutionary computation field. The Economic Load…”
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