scholarly journals Modeling and Resolution of the Allocation Problem of the Time Slots in Dakar Airport

2017 ◽  
Vol 9 (3) ◽  
pp. 30
Author(s):  
Youssouf Ahamada ◽  
Salimata G. Diagne ◽  
Amadou Coulibaly ◽  
D'ethi'e Dione ◽  
N'dogotar Nlio ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Linear Model ◽  
Optimal Allocation ◽  
Allocation Problem ◽  
Quality Service ◽  
Unmet Demand ◽  
Proposed Model ◽  
Optimal Quality ◽  
Leopold Sedar Senghor

In this article, we proposed a programming linear model in integer numbers(PLIN) for the optimal allocation of the time slots in the  international  Leopold Sedar Senghor airport of Dakar (L.S.S). The slots  are specific allocated periods which allow an aircraft to land or take off in a saturated airport. Their attribution depends on theconfiguration of the airport, more particularly on its capacity. We maximize the confirmed demand in each slot and take the number of aircrafts and the number of manageable passengers with an optimal quality service into account. We used the CPLEX software so that to test the effectiveness of the linear model. Firstly, in the proposed model linear in integer numbers, any unmet demand was isolated. Secondly, the rejected demands  by introducing a model and an algorithm of resolution based on the dynamic programming.

The sustainability of urban renewal projects: a model for economic multi-criteria analysis

2017 ◽  
Vol 35 (4) ◽  
pp. 397-409 ◽  
Author(s):  
Antonio Nesticò ◽  
Francesco Sica
Keyword(s):  
Sustainable Development ◽  
Urban Renewal ◽  
Environmental Sustainability ◽  
Optimal Allocation ◽  
Content Type ◽  
The Sustainable Development ◽  
Compromise Solutions ◽  
Selection Processes ◽  
Proposed Model ◽  
Investment Programme

Purpose The decisions taken today relating to urban renewal interventions are rarely supported by logical and operational methodologies capable of effectively rationalising selection processes. For this purpose, it is necessary to propose and implement analysis models with the aim of promoting the sustainable development of the territory. The purpose of this paper is to define a model for the optimal allocation of scarce resources. Design/methodology/approach The Discrete Linear Programming (DLP) is used for selecting investments aimed at achieving financial, social, cultural and environmental sustainability. Findings The proposed model lends itself to the construction of investment plans on behalf of both types of decision makers, of both a public and a private nature. Research limitations/implications All projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences. Practical implications The model, written with A Mathematical Programming Language using DLP logics, is tested – case study – so as to define an investment programme finalised for urban renewal of a vast area. Social implications The proposed econometric model makes it possible to obtain the optimal combination of projects for urban renewal with a view to achieving the sustainable development of the territory. Originality/value Using the proposed model, all projects are evaluated according to multi-criteria logics, so that it is possible to find compromise solutions, in accordance with the stakeholders’ different preferences.

A NON-LINEAR MODEL FOR OPTIMAL ALLOCATION OF IRRIGATION WATER AND LAND UNDER ADEQUATE AND LIMITED WATER SUPPLIES: A CASE STUDY IN SOUTHERN ITALY

2013 ◽  
Vol 62 (2) ◽  
pp. 145-155 ◽  
Author(s):  
Pietro Rubino ◽  
Anna Maria Stellacci ◽  
Roberta M. Rana ◽  
Maurizia Catalano ◽  
Angelo Caliandro
Keyword(s):  
Linear Model ◽  
Irrigation Water ◽  
Optimal Allocation ◽  
Southern Italy ◽  
Water Supplies ◽  
Non Linear

scholarly journals Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device

2017 ◽  
Vol 40 (1) ◽  
pp. 29-44
Author(s):  
Jong-Min Kim ◽  
Gi-Sung Lee ◽  
Ki-Hak Hong ◽  
Chang-Kyoon Son
Keyword(s):  
Optimal Allocation ◽  
Stratified Sampling ◽  
Double Sampling ◽  
Proposed Model ◽  
Sensitive Parameters ◽  
Allocation Methods

This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken  by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sensitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory  and Singh model and the adjusted Kuk model in terms of the estimator variance.

Reliability of nonrepairable phased-mission systems with common bus performance sharing

2018 ◽  
Vol 232 (6) ◽  
pp. 647-660 ◽  
Author(s):  
Huan Yu ◽  
Jun Yang ◽  
Yu Zhao
Keyword(s):  
Genetic Algorithm ◽  
Reliability Analysis ◽  
Evaluation Method ◽  
Optimal Allocation ◽  
Recursive Algorithm ◽  
Entire System ◽  
Allocation Algorithm ◽  
Proposed Model ◽  
The Common ◽  
Multi Phase

This article considers the reliability analysis of phased-mission systems with common bus performance sharing. The whole system consists of client nodes, service elements, and a common bus redistribution system and it undertakes a multi-phase mission. In each phase, the service elements must satisfy the demands of the prespecified client nodes set. The service elements can share their surplus performance with other client nodes through the common bus. In any phase, the system fails if the demands of the prespecified client nodes set are not satisfied. In other words, the entire system succeeds if the demands of the prespecified client nodes set are satisfied in all phases. The reliability of the proposed model is analyzed by the backward recursive algorithm. The optimal allocation problem is solved by the genetic algorithm. Two examples are presented to demonstrate the proposed reliability evaluation method and optimal allocation algorithm.

INFLUENCE OF INVESTING IN TREATING A POLLUTED ENVIRONMENT ON THE HARVEST: A PROBLEM OF OPTIMAL ALLOCATION

2019 ◽  
Vol 27 (02) ◽  
pp. 257-279
Author(s):  
P. D. N. SRINIVASU ◽  
SIMON D. ZAWKA
Keyword(s):  
Optimal Allocation ◽  
Infinite Horizon ◽  
Renewable Resource ◽  
Maximum Sustainable Yield ◽  
Allocation Problem ◽  
Sustainable Yield ◽  
Optimal Solutions ◽  
Polluted Environment ◽  
Sole Owner

This study is concerned with harvesting a renewable resource that is surviving in a polluted environment. Fall in the revenue from the resource due to presence of pollution in the environment drives the sole owner to allocate a part of the available effort towards treating the environment and the interest is to find the optimal allocation of the available effort towards harvesting the resource and treating the environment so that the revenue is maximized. Resource-pollution dynamics are studied, maximum sustainable yield and maximum sustainable revenue have been evaluated. Further, an optimal allocation problem has been formulated on infinite horizon and optimal solutions are obtained. Key results of the study are demonstrated through numerical illustrations.

scholarly journals Optimal TCSC Allocation via Chaotic Immune Symbiotic Organisms Search for Voltage Profile Improvement

2020 ◽  
Vol 152 ◽  
pp. 03002
Author(s):  
Mohamad Khairuzzaman Mohamad Zamani ◽  
Ismail Musirin ◽  
Saiful Izwan Suliman ◽  
Sharifah Azma Syed Mustaffa ◽  
Nur Zahirah Mohd Ali ◽  
...  
Keyword(s):  
Power System ◽  
Optimal Allocation ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Allocation Problem ◽  
Voltage Profile ◽  
Symbiotic Organisms Search ◽  
Flexible Ac Transmission System ◽  
Ac Transmission ◽  
Voltage Profile Improvement

As the load demand in a power system increases, power system operators struggle to maintain the power system to be operated within its acceptable limits. If no mitigation actions are taken, a power system may suffer from voltage collapse, which in turn leads to blackout. Flexible AC Transmission System (FACTS) devices can be employed to help improve the voltage profile of the power system. This paper presents the implementation of Chaotic Immune Symbiotic Organism Search (CISOS) optimization technique to solve optimal Thyristor Controlled Series Compensator (TCSC) in a power system for voltage profile improvement. Validation process are conducted on IEEE 26-bus RTS resulting in the capability of CISOS in solving the allocation problem with a better voltage profile. Comparative studies conducted with respect to Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) has revealed the superiority of CISOS over PSO and EP in solving the optimal allocation problem by producing optimal solution with a better voltage profile. The results and information obtained from this study can help power system operator in terms of optimal compensation in power system as well as improving the operation of a power system.

scholarly journals Flux Reflection Model of the Ferroresonant Circuit

2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Kruno Miličević ◽  
Ivan Flegar ◽  
Denis Pelin
Keyword(s):  
Physical Model ◽  
Linear Model ◽  
Nonlinear Model ◽  
Steady States ◽  
Reflection Model ◽  
Proposed Model ◽  
Simulation Results ◽  
Ferroresonant Circuit ◽  
Nonlinear Coil

The paper presents a linear model of ferroresonant circuit with flux reflection. The proposed model—flux reflection model—derives from observations of typical flux waveforms of nonlinear coil during ferroresonant steady states. Simulation results of the flux reflection model are compared with simulation results of the usual nonlinear model as well as with measurements carried out on the physical model of the ferroresonant circuit. The flux reflection model enables a novel comprehension of the ferroresonant circuit behavior and simplifies the modeling of the nonlinear coil in the ferroresonant circuit.

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