Experimental analysis of optimization techniques on the road passenger transportation problem

López, Beatriz; Muñoz, Víctor; Murillo, Javier; Barber, Federico; Salido, Miguel Á.; Abril, M.; Cervantes, Mariamar; Luis, F.; Villaret, Mateu

doi:10.1016/j.engappai.2008.10.014

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…There are many metaheuristic approaches used for electrical machine design optimization [5,8,[109][110][111][112][113][114][115][116], and these methods can be categorized in many different ways. Due to their different properties, these methods can be assigned more than one category [117][118][119]. One of the easiest ways is to categorize them as stochastic or deterministic approaches.…”

Section: Multi-objective Optimization Techniquesmentioning

confidence: 99%

Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems

et al. 2020

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The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical machines. However, from the mathematical point of view, these problems belong to the most general branch of non-linear optimization problems, where these tools cannot guarantee that a global minimum is found. The numerical cost and the accuracy of these algorithms depend on the initialization of their internal parameters, which may themselves be the subject of parameter tuning according to the application. In practice, these optimization problems are even more challenging, because engineers are looking for robust designs, which are not sensitive to the tolerances and the manufacturing uncertainties. These criteria further increase these computationally expensive problems due to the additional evaluations of the goal function. The goal of this paper is to give an overview of the widely used optimization techniques in electrical machinery and to summarize the challenges and open problems in the applications of the robust design optimization and the prospects in the case of the newly emerging technologies.

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Section: Multi-objective Optimization Techniquesmentioning

confidence: 99%

Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems

et al. 2020

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“…The road passenger transportation problem is an optimization problem in which drivers should be assigned to transport services, satisfying some constraints and minimizing EVALUATION AND ANALYSIS OF URBAN PASSENGERS … 287 some function cost [Lo´pez et. al, 2009].…”

Section: Problem Identificationmentioning

confidence: 99%

“…The strategic and operative planning play an important role, that has inspired the development of large number of problems through decision variables (specific solutions), viewed as rule oriented planning [Lo´pez et. al 2009, Shahin 2006.…”

Section: Operational Planning Is Organized In a Sequential Process Smentioning

confidence: 99%

EVALUATION AND ANALYSIS OF URBAN PASSENGERS TRANSPORT MODES OPERATION PERFORMANCE & EFFICIENCY

Owais

Moussa

Enieb

et al. 2011

JES. Journal of Engineering Sciences

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While the demand for transportation is growing rapidly, many problems are facing planners and traffic operators in urban areas; such as; low performance and efficiency levels of passengers transport system. The strategy for tackling these problems has been for years to consider adding more capacity to the transport supply system, through huge investments in transport infrastructure. Best utilization of available transport services and facilities is an urgent necessity. Methods developed in the theory of optimization, through making use of advanced computation technology, would allow one to make experimental analysis and evaluation of different policies and strategies for better understanding of the transportation problem and to select a solution for efficient utilization of resources. This paper presents a methodology for transport modes operation analysis for different policies and strategies to be simulated in order to reach optimal goals. The performance and efficiency of transport modes operation are formulated in a framework as an output maximization process of an objective function, subject to state variables, decision variables, constraints and variable bounds. Four main traffic operation strategies which would have great impacts on urban transportation performance and efficiency were analyzed, each strategy contains heuristics of many trial values of decision variables. The overall methodology is seeking global optimality. The research output revealed two important indicators for alternative transport systems evaluation; Mode Efficiency Factor and transport system passenger supply Efficiency Index. The efficient transport system supply that satisfies a certain demand is attained. Moreover, an identification and clarification of most compatible transport modes, suitable for passenger demand sharing, that would give optimal performance indicators are documented.

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Analysis and forecast of taxi transport capacity in railway station: A case of Beijing West Railway Station

Gui

Zhao

et al. 2021

2021 11th International Conference on Information Science and Technology (ICIST)

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Experimental analysis of optimization techniques on the road passenger transportation problem

Cited by 3 publications

References 42 publications

Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems

Robust Design Optimization and Emerging Technologies for Electrical Machines: Challenges and Open Problems

EVALUATION AND ANALYSIS OF URBAN PASSENGERS TRANSPORT MODES OPERATION PERFORMANCE & EFFICIENCY

Analysis and forecast of taxi transport capacity in railway station: A case of Beijing West Railway Station

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