The river and maritime transport represents an attractive alternative to land and air transport. The containerization allows the industries to save costs thanks to the standardization of dimensions. The container term...
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ISBN:
(纸本)9789814417730
The river and maritime transport represents an attractive alternative to land and air transport. The containerization allows the industries to save costs thanks to the standardization of dimensions. The container terminal has to manage container traffic at the crossroads of land road, railway. In this paper, we propose to optimize, simultaneously, the storage problem and the quayside transport problem. In a space storage, it exists several blocks and each one has its storage cost. The first aim is to minimize the cost storage of containers. These latter are loaded into vessels, the vehicles have to transport the containers from blocks to quays (of vessels). So, the second aim consists to minimize the distance between the space storage and the quays. The optimization methods of operations research in container terminal have become more and more important in recent years. Objective methods are necessary to support decisions. To solve this multiobjective problem, we develop a resolution method which is a metaheuritic approach called multiobjective ant colony optimization. The second resolution method is the multiobjective ant colony optimization with a local search.
作者：
Naderpour, MohsenLu, JieUniv Technol
Fac Engn & Informat Technol Ctr Quantum Computat & Intelligent Syst QCIS Decis Syst & E Serv Intelligence LabSch Software Broadway NSW 2007 Australia
Situation awareness (SA) is a critical factor for human decision making and performance in dynamic environments. Actually SA is a mental model of the current state of the environment and includes many types of complex...
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ISBN:
(纸本)9789814417730
Situation awareness (SA) is a critical factor for human decision making and performance in dynamic environments. Actually SA is a mental model of the current state of the environment and includes many types of complex systems such as safety supervisory systems. The current paper employs two focus areas including neural network and expert system for maintaining SA in a safety supervisory system. The neural network components provide adaptive mechanisms for perception, and the expert system offers the ability to support comprehension and projection.
In this study, we model provider selection and task allocation problem as an expected cost minimization problem with stochastic chance constraints. Two important parameters of Quality of Service (QoS), delay and jitte...
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ISBN:
(纸本)9789814417730
In this study, we model provider selection and task allocation problem as an expected cost minimization problem with stochastic chance constraints. Two important parameters of Quality of Service (QoS), delay and jitter are considered as random variables to capture stochastic nature of telecom network environment. As solution methodology, stochastic model is converted into its deterministic equivalent and then a novel heuristic algorithm is proposed to solve resulting nonlinear mixed integer programming model. Finally, performance of solution procedure is tested by several randomly generated scenarios.
The understanding of human behaviour in the real world is important aspect of attempts to develop effective tools that simulate humans in areas such as ergonomics, manufacturing, transportation, psychology and archite...
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ISBN:
(纸本)9789814417730
The understanding of human behaviour in the real world is important aspect of attempts to develop effective tools that simulate humans in areas such as ergonomics, manufacturing, transportation, psychology and architecture. In this research, video observation studies and analysis is applied to understand the individual human behaviour in crowded spaces. Individual human behaviour is modelled and simulated using 'agents' with differing characteristics and abilities in a virtual environment. The focus is on developing a simulation method that supports an 'inclusive' sustainable environment which allows full participation of the elderly and disabled people in society.
Integral performance appraisal process is used as a key tool for enterprise competitiveness. It considers different indicators to provide evaluation assessments about employees' performance based on the judgment o...
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ISBN:
(纸本)9789814417730
Integral performance appraisal process is used as a key tool for enterprise competitiveness. It considers different indicators to provide evaluation assessments about employees' performance based on the judgment of different groups of reviewers, who socialize with employees. This contribution presents a Web based Support System for Integral Performance Appraisal, so-called WSSIPA, which implements an integral performance appraisal model that offers a heterogeneous framework in which reviewers can provide their judgments within different domains (numerical, interval-valued and linguistic), according to the nature of criteria and the background of each reviewer. In this contribution, we show the functionality of WSIIPA, conducting a simple case study for an integral performance appraisal process.
This paper introduces the concept of tolerable solution set for interval-valued fuzzy relational equations with min-implication composition on complete Brouwerian lattices. Tolerable solution set interval-valued fuzzy...
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ISBN:
(纸本)9789814417730
This paper introduces the concept of tolerable solution set for interval-valued fuzzy relational equations with min-implication composition on complete Brouwerian lattices. Tolerable solution set interval-valued fuzzy relational equations is shown when the right-hand sides are meet-irreducible. Necessary and sufficient conditions for the existence of solutions are given.
An innovative control scheme to regulate the power of the TRIGA Mark III research reactor of the National Nuclear Center of Mexico is proposed. Based on the safety limit value imposed on the power rate of change, a se...
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ISBN:
(纸本)9789814417730
An innovative control scheme to regulate the power of the TRIGA Mark III research reactor of the National Nuclear Center of Mexico is proposed. Based on the safety limit value imposed on the power rate of change, a sectionally continuous time profile for the ascent of power from its source level to a desired value is generated. A group of fuzzy systems is used to identify the nonlinear functions of the plant's state-space equations. Using Lyapunov stability theory, the consequent parameters of these fuzzy identifiers are adapted. A supervisor control stage ensures the boundedness of the neutron power error signal. The dynamic behavior of the reactor is obtained from the point kinetics equations given by the Fuch-Hansen model. The controller shows a robust regulation against plant's parameter disturbances.
Selecting the best conceptual aircraft design is a crucial problem during an aircraft development process. To find out a solution for this complex problem, there is only few information available with uncertainty as o...
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ISBN:
(纸本)9789814417730
Selecting the best conceptual aircraft design is a crucial problem during an aircraft development process. To find out a solution for this complex problem, there is only few information available with uncertainty as obtaining more precise measurements and accurate preference information is difficult or sometimes impossible. Therefore, this study proposes a realistic simulation approach based on Fuzzy Axiomatic Design (FAD) method and a novel Random Weight Generation (RWG) algorithm to select an aircraft design that meets the requirements the most. This approach gives an opportunity to the decision-makers to evaluate alternative designs under multiple qualitative and quantitative criteria by considering the operational requirements. Finally, an empirical study is presented to illustrate the applicability of the proposed approach.
The problem of data recovery in multi-way arrays (i.e., tensors) arises in many fields such as image processing and computer vision, etc. In this paper we propose a scalable and fast algorithm for recovering a low-n-r...
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ISBN:
(纸本)9789814417730
The problem of data recovery in multi-way arrays (i.e., tensors) arises in many fields such as image processing and computer vision, etc. In this paper we propose a scalable and fast algorithm for recovering a low-n-rank tensor with an unknown fraction of its entries being arbitrarily corrupted. In the new algorithm, the tensor recovery problem is formulated as a mixture convex multilinear RPCA optimization problem by minimizing a sum of the nuclear norm and the l(1)-norm. The problem is well-structured in both the objective function and constraints. We apply augmented Lagrange multiplier method which can make use of the good structure for efficiently solving this problem.
In this study, mixed model assembly line balancing and sub-assembly selection problems are solved jointly. The mixed model assembly line balancing problem requires that tasks are assigned to workstations with balanced...
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ISBN:
(纸本)9789814417730
In this study, mixed model assembly line balancing and sub-assembly selection problems are solved jointly. The mixed model assembly line balancing problem requires that tasks are assigned to workstations with balanced workloads. In sub-assembly selection problem, manufacturer determines which components of the products are assembled in sub-assembly area and which ones are assembled on the products directly in the line. Sub-assembly alternatives, task times, precedence relations and other system specific data are input to determine which tasks are assigned to sub-assembly area and which ones are assigned to the line for two conflicting objectives of minimizing cycle time and minimizing total cost. A recursive two stage goal programming approach is developed to solve the above mentioned problem. The developed model is then implemented in a real life automotive manufacturer's assembly line balancing problem.
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