A genetic algorithm was used to calibrate the RUNOFF component of the EPA storm-water management model, SWMM. A multi-objective function was developed which attached user-specified weights to error terms for estimates...
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A genetic algorithm was used to calibrate the RUNOFF component of the EPA storm-water management model, SWMM. A multi-objective function was developed which attached user-specified weights to error terms for estimates of peak flow rate, runoff volume, and time of peak. The genetic algorithm proved to be a valuable tool for isolating the neighborhood of the optimal parameter set. A conventional calibration scheme was used whereby the model was first fitted to a low intensity storm which produced runoff from impervious al eas only After parameters for the impervious cover were found, a larger storm was used to determine the variables for pervious land use. The calibrated model was used to simulate Two additional storms with good accuracy.
In this work, several extended approximately invex vector-valued functions of higher order involving a generalized Jacobian are introduced, and some examples are presented to illustrate their existences. The notions o...
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In this work, several extended approximately invex vector-valued functions of higher order involving a generalized Jacobian are introduced, and some examples are presented to illustrate their existences. The notions of higher-order (weak) quasi-efficiency with respect to a function are proposed for a multi-objective programming. Under the introduced generalization of higher-order approximate invexities assumptions, we prove that the solutions of generalized vector variational-like inequalities in terms of the generalized Jacobian are the generalized quasi-efficient solutions of nonsmooth multi-objective programming problems. Moreover, the equivalent conditions are presented, namely, a vector critical point is a weakly quasi-efficient solution of higher order with respect to a function.
This academic paper delves into the intricacies of dining out and dietary management, aiming to provide an effective solution to the multifaceted challenges faced by regular out-diners in Taiwan. The research centers ...
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This academic paper delves into the intricacies of dining out and dietary management, aiming to provide an effective solution to the multifaceted challenges faced by regular out-diners in Taiwan. The research centers on the development and application of an innovative hybrid model that combines the analytic hierarchy process (AHP) and multi-objective programming (MOP) to facilitate dietary planning, thereby accommodating individual preferences, expert insights, and the recommended daily intake levels for six categories of essential nutrients. The model is designed to enable a dynamic adjustment of preference coefficients when decision-makers provide their preferences, resulting in personalized dietary recommendations. However, it is noted that solutions adhering to predefined budget constraints may sometimes fall short of identifying entirely satisfactory dietary combinations. Furthermore, a significant challenge identified in this study pertains to the availability of food products at chain restaurants and stores. These products often exhibit deficiencies in essential nutrients while offering an excess of dietary energy. The research reveals that when individuals adhere to recommended dietary combinations, they can attain nutrient intake levels that closely approximate suggested values. In this study, the AHP-MOP model demonstrates enhanced stability and superior adherence to the principles of healthy dietary planning, ultimately yielding dietary combinations associated with a higher perceived value within the same budgetary constraints than the MOP-only model. With the regional limitation of model, the study underscores the potential for enhancing the model's practicality by expanding the product database, thereby contributing to the improved dietary well-being of regular out-diners.
This paper considers analogues of statements concerning compactness and finite coverings, in which the roles of spheres are replaced by cones. Furthermore, one of the finite covering results provides an application in...
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This paper considers analogues of statements concerning compactness and finite coverings, in which the roles of spheres are replaced by cones. Furthermore, one of the finite covering results provides an application in multi-objective programming;infinite sets of alternatives are reduced to finite sets.
In this paper, a hybrid artificial intelligent approach based on the clonal selection principle of artificial immune system (AIS) and neural networks is proposed to solve multi-objective programming problems. Due to t...
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In this paper, a hybrid artificial intelligent approach based on the clonal selection principle of artificial immune system (AIS) and neural networks is proposed to solve multi-objective programming problems. Due to the sensitivity to the initial values of initial population of antibodies (Ab's), neural networks is used to initialize the boundary of the antibodies for AIS to guarantee that all the initial population of Ab's is feasible. The proposed approach uses dominance principle and feasibility to identify solutions that deserve to be cloned, and uses two types of mutation: uniform mutation is applied to the clones produced and non-uniform mutation is applied to the "not so good" antibodies. A secondary (or external) population that stores the nondominated solutions found along the search process is used. Such secondary population constitutes the elitist mechanism of our approach and it allows it to move towards the Pareto front. (C) 2010 Faculty of Computers and Information, Cairo University. Production and hosting by Elsevier B.V. All rights reserved.
With the rapid development of shared bicycles in recent years, it not only facilitates urban residents, but also brings several problems to urban traffic, mainly in disorderly parking. In order to solve the disorderly...
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ISBN:
(纸本)9781510674479
With the rapid development of shared bicycles in recent years, it not only facilitates urban residents, but also brings several problems to urban traffic, mainly in disorderly parking. In order to solve the disorderly parking of shared bicycles, this paper takes the Yangguang Campus of Wuhan Textile University for example and considers the trip demand of teachers and students. We choose the cosine distribution time satisfactory function as the service quality level function to quantify the quality of service, which can reflect the distance between demanding points and parking sites to users' satisfaction. Then we establish a multi- objective integer planning location-selection model based on gradual coverage method, which aims at maximizing service quality and minimizing the number of parking sites. We use LINGO to calculate the model with actual survey data. The results show that the solution of the location-selection model is close to the reality and of certain practical significance.
Under the background of frequent occurrence of extreme drought as well as increasing attention to water shortage, regional water right distribution has become a vital approach for local government to advocate water ri...
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ISBN:
(纸本)9781424481194
Under the background of frequent occurrence of extreme drought as well as increasing attention to water shortage, regional water right distribution has become a vital approach for local government to advocate water right and manage water resource. The connotation along with subject and object of regional water right are investigated in this article. The manifestations of regional water right include life water right, ecological water right and productive water right. multi-objective programming model of regional water right distribution in the fields of life, ecology and production is established taking social, ecological and economic targets into account. In accordance with the principle that basic water right superiors than public water right and competitive water right, the distribution priority is confirmed by questionnaires design and AHP method. Finally, empirical research is conducted by data from Ningxia and results are obtained under the condition of objects equilibrium. 0.3188 billion m(3) water should be distributed to life activities and 0.1109 billion m(3) water should be distributed to ecological activities, 7.3331 billion m(3) to production activities according to the abovementioned empirical research.
In this paper, a fuzzy goal programming (FGP) algorithm for solving bi-level multi- objectiveprogramming problems with fuzzy demands is presented. These fuzzy demands reflect the experts' imprecise or fuzzy under...
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In this paper, a fuzzy goal programming (FGP) algorithm for solving bi-level multi- objectiveprogramming problems with fuzzy demands is presented. These fuzzy demands reflect the experts' imprecise or fuzzy understandings of the nature of parameters in the problem formulation process are assumed to be characterized as fuzzy numbers. Using the level sets of fuzzy parameters, the corresponding non fuzzy bilevel programming problem is introduced. In the proposed algorithm, the membership functions for the defined fuzzy goals of all objective functions at the two levels, as well as the membership functions for the vector of decision variables controlled by FLDM are developed in the model formulation of the problem. Then FGP algorithm is used to achieve the highest degree of each of the membership goals by minimizing their deviational variables and thereby obtaining the most satisfactory solution for all decision makers. Illustrative numerical example is given to demonstrate the proposed algorithm.
To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mo...
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ISBN:
(纸本)9783038350491
To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mode. The author analyzes the optimal allocation problem of dynamic adjusting flight flow and draws the conclusion that the problem should satisfy multiple targets, such as low flight delays, low flight cost and balancing the load of the route. Then consider a variety of limiting factors, such as the capacity of the route, flight planning, emergency situations, etc. Then establish multi-objective programming model of dynamic adjusting flight traffic. The objective function is determined by the flight cost, the flight delays and the value of the load balance. And the value of the load balance was first proposed according to the idea of least squares method. Then solve the model based on linear weighted technique. Finally the numerical result shows that the model can satisfy the multiple objectives and dynamic adjust the flight traffic optimally, that proves the rationality and validity of the model and the algorithm.
In this paper, a class of multi-objective programming is considered, in which related functions are B - (p, r, a)-invex functions, mixed dual problem is researched, many duality theorems are proved under weaker convex...
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ISBN:
(纸本)9781315813288;9781138000797
In this paper, a class of multi-objective programming is considered, in which related functions are B - (p, r, a)-invex functions, mixed dual problem is researched, many duality theorems are proved under weaker convexity.
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