the proceedings contain 85 papers. the topics discussed include: green traveling purchaser problem model: a bi-objective optimization approach;forecasting of peak electricity demand using ANNGA and ANN-PSO approaches;...
ISBN:
(纸本)9781509054541
the proceedings contain 85 papers. the topics discussed include: green traveling purchaser problem model: a bi-objective optimization approach;forecasting of peak electricity demand using ANNGA and ANN-PSO approaches;a two stage green supplier selection and order allocation using AHP and multi-objective genetic algorithm optimization;optimal design of laminated compressed structures with delaminations;proposal of an alternative material for the energy storage and return foot;3-zero-divisor hypergraph regarding an ideal;and modeling received signal strength for indoors utilizing hybrid neuro-fuzzy network.
the aims of this study is to analyze staff scheduling in the Hotel X in Kuwait, as well as, reducing waiting time in queue and developing effective customer service through finding the optimal employees schedule witho...
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ISBN:
(纸本)9781509054541
the aims of this study is to analyze staff scheduling in the Hotel X in Kuwait, as well as, reducing waiting time in queue and developing effective customer service through finding the optimal employees schedule without hiring new staff. the study will be approached by building a simulation model using Arena in order to optimize employees scheduling within reception and housekeeping department during high season. the paper contains a general background of the simulationthrough literature review. Moreover, creating a simulation model for reception and housekeeping department by using Arena in order to find the optimal staff schedule which decreases the visitors' waiting time.
In this paper, we propose a general iterative algorithm for numerical solution of high dimension optimization problems. the specificity of the problems considered is that the number of variables involved in linear con...
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ISBN:
(纸本)9781509054541
In this paper, we propose a general iterative algorithm for numerical solution of high dimension optimization problems. the specificity of the problems considered is that the number of variables involved in linear constraints dominate over those involved in nonlinear constraints.
the aim of the paper is to discuss the formulation and solution of optimisation problems for composite structures. A special attention is focused on the coding problems of design variables. the appropriate discrete co...
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ISBN:
(纸本)9781509054541
the aim of the paper is to discuss the formulation and solution of optimisation problems for composite structures. A special attention is focused on the coding problems of design variables. the appropriate discrete coding allows us to use the same optimisation algorithms for different class of problems, i.e. shape and topology optimisation using both deterministic and fuzzy approaches.
this paper describes an energy management strategy for a light-weight electric vehicle equipped with a hybrid energy storage system. A population based optimization algorithm was used to solve a single objective const...
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ISBN:
(纸本)9781509054541
this paper describes an energy management strategy for a light-weight electric vehicle equipped with a hybrid energy storage system. A population based optimization algorithm was used to solve a single objective constrained optimization problem, where the energy consumed by the battery was to be minimized for a given drive cycle in order to extend the range of the vehicle. Obtained results show the effectiveness of the proposed energy management strategy at minimizing the energy consumed while maintaining the imposed constraints.
Commonly shape and material optimization for complex structures having complicated boundary and loading conditions requires FE analysis in order to determine accurately enough (especially for composite structures) obj...
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ISBN:
(纸本)9781509054541
Commonly shape and material optimization for complex structures having complicated boundary and loading conditions requires FE analysis in order to determine accurately enough (especially for composite structures) objective functions. the solutions of such class of problems become difficult as we use probabilistic algorithms. therefore, a general method using the Markov chain and stochastic equations is proposed to reduce the total number of iterations (computations) that are necessary to obtain a global optimum (or a quasi-global). the proposed method can be applied both for isotropic and anisotropic (composite laminates) structures. the method is illustrated by a numerical example.
Continuous Passive Motion (CPM) has been totally accepted as a physical therapy in the recent decades. there have been a number of CPM systems from the most complicated mechatronic systems to the least, developed for ...
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ISBN:
(纸本)9781509054541
Continuous Passive Motion (CPM) has been totally accepted as a physical therapy in the recent decades. there have been a number of CPM systems from the most complicated mechatronic systems to the least, developed for this purpose. Despite all improvements in manufacturing such machines, an optimum design needing an acceptably low power for efficient functioning has not yet been targeted. the aim of this paper is to kinematically synthesize a linkage-based mechanism for knee CPM withthree-accuracy-point approach. An optimization problem is then defined to find the mechanism withthe least amount of power generated by the driver joint and force generated at knee joint.
this paper proposes a mathematical model for a manufacturing and remanufacturing production problem which integrates environmental constraint. this study deals a closed-loop system composed by a manufacturing and rema...
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ISBN:
(纸本)9781509054541
this paper proposes a mathematical model for a manufacturing and remanufacturing production problem which integrates environmental constraint. this study deals a closed-loop system composed by a manufacturing and remanufacturing machines subject to random failures, in order to satisfy the random demand. this paper proposed two mathematical model minimizing the total cost of production, inventory and maintenance taking into account the given maintenance plan for the remanufacturing machine and respecting the emission tax constraint. the principle objective is to determine the economical production plans of manufacturing and remanufacturing machines and the quantity of emission carbon for each production period. the key of this study is to take into account the influence of the variation of production rates on the failure rate of manufacturing system.
Electrical load forecasting is essential in the field of power systems to enhance the operation and economical utilization In this paper, a combined approaches of artificial neural networks (ANN) with particle-swarm-o...
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ISBN:
(纸本)9781509054541
Electrical load forecasting is essential in the field of power systems to enhance the operation and economical utilization In this paper, a combined approaches of artificial neural networks (ANN) with particle-swarm-optimization (PSO) and genetic algorithm optimization (GA) for short and mid-term load forecasting is developed. the model identifies the relationship among load, temperature and humidity using a case study of Sharjah City in United Arab Emirates. the ANN model trains the hourly peak load data for a set of days and then forecasts the load for next day. Actual data obtained from Sharjah Electricity and Water Authority (SEWA) is used to validate the results.
Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing departme...
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ISBN:
(纸本)9781509054541
Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing department using analytic hierarchy process (AHP). then, genetic algorithm (GA), that uses real-coded representation chromosomes, is used to find the optimal solution for the multi-objective integer linear programming model. the model deals withthree conflicting objectives which are: total purchasing cost (TCP), total green value of purchasing (TGVP) and total rejected item due to quality (TR). the model is illustrated by a numerical example.
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