This paper presents a new extension of SALBP-2, so called assembly line resource assignment and balancing problem of type 2 (ALRABP-2). Two main differences from the existing literature are revealed in this work. The ...
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This paper presents a new extension of SALBP-2, so called assembly line resource assignment and balancing problem of type 2 (ALRABP-2). Two main differences from the existing literature are revealed in this work. The first is on the objective function which is a multiple one. It is aimed here to minimize both the cycle time and the cost per time unit (hour) of a line for a fixed number of stations to satisfy the constraints of precedence between tasks and compatibility between resources. The second difference lies in the proposed method to solve this problem. A new version of multi-objectivegeneticalgorithm (MOGA) called hybrid MOGA (HMOGA) is elaborated. Full experiment design is used to obtain a better MOGA parameters combination. The effectiveness of the HMOGA was assessed through a set of literature problems. The performance of HMOGA shows a good quality of the fronts generated and a better problem-solving capacity for two optimisations.
This paper focuses on deriving optimal refill rules for a multi-purpose reservoir, and aims to maximize utilization benefits under the condition of flood control safety. The entire flood season is divided into multipl...
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This paper focuses on deriving optimal refill rules for a multi-purpose reservoir, and aims to maximize utilization benefits under the condition of flood control safety. The entire flood season is divided into multiple sub-seasons (i.e. pre-flood season, main-flood season and post-flood season). By advancing the start of the refill period to the beginning of the post-flood season, seasonal design flows during the new refill period are estimated. A multi-objective refill operation model is proposed by combining flood control and conservation together. The simulation-optimization-test framework and hybrid multi-objective genetic algorithms are developed and used to optimize the rule curves. China's Three Gorges Reservoir is selected as a case study and the application results show that the proposed model can increase the hydropower generation by 17.4%, decrease spilled water by 43.9%, and improve the refill probability greatly without decreasing the flood control standard and navigation probability during the refill period.
Motivated by the need for coordinated multi-Airspace flow management for the National Airspace System because of flux coupling existing in airspaces, we present coupling-capacity of airspace through quantifying the im...
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ISBN:
(纸本)9780769535623
Motivated by the need for coordinated multi-Airspace flow management for the National Airspace System because of flux coupling existing in airspaces, we present coupling-capacity of airspace through quantifying the impact of downstream air route flow on upstream flows. First, we present a multi-objective integral optimization model for coupling-capacity of airspace. Secondly, according to the topology structure of airspace, we set up a directed acyclic Graph (DAG). Through the DAG we can analyze the coupling-relationship between airspace sectors. Furthermore, according to the topological inverse sort of the DAG-net, we confirm the order of solving the coupling-capacity of every airspace unit in the airspace system. Finally, we present a hybrid multi-objective genetic algorithm (MOGA) to solve the multi-objective optimization problem. Simulation results demonstrate that MOGA can approach the satisfying solution about the coupling-capacity model. Through analyzing the solution, the coupling-capacity model of airspace could systemically balance and optimize airspace resources according to the distribution of flow requirements in each airspace element, and eliminate the ripple effect of congestion in the airspace system because of coupling between the airspaces.
The optimization techniques gain immense exposure as a potential methodology for attaining the optimal process parameters for manufacturing problems. The present study deals with optimizing approaches in analyzing and...
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The optimization techniques gain immense exposure as a potential methodology for attaining the optimal process parameters for manufacturing problems. The present study deals with optimizing approaches in analyzing and predicting the tensile behavior of friction stir welded AA7039. Rotational speed, welding speed, and tilt angle are used as input variables;ultimate tensile strength (UTS) and tensile elongation (TE) is observed as a response parameter. Central composite design (CCD) of response surface methodology (RSM) is used to perform the experiment. multi-objectivegeneticalgorithm (MOGA) and HMOGA (hybrid multi-objective genetic algorithm) using goal attainment method are employed to determine the optimal values of input parameters. It is observed that both techniques give better optimal process parameters for attaining maximum values of UTS and TE. Moreover, HMOGA provides better results than MOGA owing to the presence of consistency in the solution.
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