We further improve our methodology for solving irregular packing and cutting problems. We deal with an accurate representation of objects bounded by circular arcs and line segments and allow their continuous rotations...
详细信息
We further improve our methodology for solving irregular packing and cutting problems. We deal with an accurate representation of objects bounded by circular arcs and line segments and allow their continuous rotations and translations within rectangular and circular containers. We formulate a basic irregular placement problem which covers a wide spectrum of packing and cutting problems. We provide an exact non-linear programming (NLP) model of the problem, employing ready-to-use phi-functions. We develop an efficient solution algorithm to search for local optimal solutions for the problem in a reasonable time. The algorithm reduces our problem to a sequence of NLP subproblems and employs optimization procedures to generate starting feasible points and feasible subregions. Our algorithm allows us to considerably reduce the number of inequalities in NLP subproblems. To show the benefits of our methodology we give computational results for a number of new challenger and the best known benchmark instances.
A numerical method using Haar wavelets for solving infinite-horizon time-delayed optimal control problems is studied. The problem is first transformed, using a Pade approximation, to one without a time-delayed argumen...
详细信息
A numerical method using Haar wavelets for solving infinite-horizon time-delayed optimal control problems is studied. The problem is first transformed, using a Pade approximation, to one without a time-delayed argument. By a suitable change of variable, the obtained non-delay infinite-horizon optimal control problem is converted to a finite-horizon non-linear optimal control problem. An approximation scheme based on Haar wavelets in the time domain is then proposed for solving the obtained optimal control problem. Haar wavelets integral operational matrix and direct collocation method are used to find the approximated optimal trajectory and the optimal control law of the original problem. Two illustrative examples are provided to show the feasibility and the efficiency of the proposed method.
Fuzzy multi-objective programming is an important optimization method to solve many complex practical problems. In this work, the applications of fuzzy multi-objective programming modeling for solving the practical pr...
详细信息
Fuzzy multi-objective programming is an important optimization method to solve many complex practical problems. In this work, the applications of fuzzy multi-objective programming modeling for solving the practical problems in regional water resources optimal scheduling are studied. In order to strengthen the planning and management of water resources, the limited water resources are fully and effectively used scientifically. And because of the multi-objective and uncertainties of the regional water resources optimization scheduling problem, this paper adopts the fuzzy multi-objective programming method to deal with this complex practical problem. Based on the fuzzy multi-objective programming technique, the fuzzy multi-objective nonlinearprogramming model of regional water resources optimal dispatching is established. The multi-objective includes three goals: economic benefit, environmental benefit and social benefit. Then, the establishment and solving steps of the fuzzy multi-objective nonlinearprogramming model are introduced for the established model. Finally, the proposed scheme is evaluated and sorted. Finally, combined with the actual situation of a city to solve, verify the validity of the model.
This paper proposes a method to enhance resiliency of microgrids through survivability. Survivability in this context is to minimize load shed for the duration the microgrid is in islanded mode following a disturbance...
详细信息
This paper proposes a method to enhance resiliency of microgrids through survivability. Survivability in this context is to minimize load shed for the duration the microgrid is in islanded mode following a disturbance event. During islanded operation, microgrid loads are prioritized as critical and non-critical loads. The key decision is to ascertain whether to provide energy to non-critical loads after supplying the critical loads or to store excess energy for future dispatches. This task is formulated as a non-linear programming problem. The objective is to minimize the amount of critical load shed while maximizing the amount of non-critical load served for a projected restoration time while adhering to relevant operational and physical constraints. For this extended time-scale problem, uncertainty of renewable generation and load forecast is quantified with probability distribution and confidence levels are used to establish likelihood of forecast error. Distributed generation such as solar and wind farm along with battery energy storage system are modeled. Demand response is implemented through adjustable loads and a fleet of plug in hybrid electric vehicles that can be operated in both grid to vehicle and vehicle to grid mode. Test cases are studied on a modified CIGRE microgrid benchmark test system and results are compared with a temporal decomposition scheme based energy management system. (C) 2016 Elsevier B.V. All rights reserved.
Most manufacturing firms consider product pricing as a key strategic *** planning and scheduling,on the other hand,are mostly treated as a non-strategic *** businesses,therefore,follow some sequential decision-making ...
详细信息
Most manufacturing firms consider product pricing as a key strategic *** planning and scheduling,on the other hand,are mostly treated as a non-strategic *** businesses,therefore,follow some sequential decision-making process;where product prices are determined first and then operational plans are made to fulfill the resulting demand at the lowest possible *** this paper,we present a coordinated decision model approach for multiproduct pricing and lot sizing decisions for a manufacturer who has limited production *** the presented model is specific to demands that follow constant elasticity of the price,it can easily be extended to other convex demand *** show that a coordinated decision-making process where price and production plans are determined simultaneously may lead to substantially higher *** propose an efficient solution methodology for finding optimal prices and product quantities and use real-world data to demonstrate the applicability of this research.
A mathematical model was developed to estimate the location of a second warehouse for a case study in Bangkok. A non-linear program was developed based on the Load Distance Technique. The objective function was to min...
详细信息
In the era of modern computing based environment, the process of design is conceptualized, implemented and tested in a close loop integrating different modules of design, manufacturing and usages. In this regard, this...
详细信息
ISBN:
(纸本)9781509015375
In the era of modern computing based environment, the process of design is conceptualized, implemented and tested in a close loop integrating different modules of design, manufacturing and usages. In this regard, this paper presents a computing based design model for the design of a 'Pneumatic Driven Variable Buoyancy System (PDVBS)' for 'Autonomous Underwater Vehicles (AUVs)'. The presented design model is modular in architecture and integrates the design of PDVBS with design of AUV. The design approach is derived from the basic and advanced principles of mechanics and the approach is defined in the 'Computer Aided Design (CAD)' model in terms of different modules with implementation in Matlab*(TM). Finally, we present a design example of a PDVBS for depth rating up to 4200 m with application focused on a large AUV of length 7 m to show the efficiency and applicability of our proposed design model.
The efficient control of buoyancy with low power is critically important in the design of new age 'Autonomous Underwater Vehicles/Gliders (AUVs/Gs)'. This paper presents a 'Computer Simulation Model (CSM)&...
详细信息
ISBN:
(纸本)9781467397247
The efficient control of buoyancy with low power is critically important in the design of new age 'Autonomous Underwater Vehicles/Gliders (AUVs/Gs)'. This paper presents a 'Computer Simulation Model (CSM)' for the primary design of 'Variable Buoyancy System (VBS)' for AUVs/AUGs to efficient control buoyancy and the simulation model is built in the environment of integration, modular architecture and specific range of applicability. The CSM for design of VBS is integrated in the overall design process of AUVs/AUGs. Finally, we present design example of the VBS for a AUVhaving two ballast tanks (each of a buoyancy capacity of +/- B = 10kg), maximum rate of change of buoyancy = 9 kg/minute;and our presented results show that the proposed CSM for the design of VBS for AUVs/AUGs simulates the design process efficiently and leads to an efficient and economic design with the desired and specific range of applications.
This paper is devoted to non-linear single path routing problems, which are known to be NP-hard even in the simplest cases. We propose a Best Response algorithm, based on Game Theory, providing single-path routings wi...
详细信息
Super-resolution Reconstruction (SRR) is technique to increase the spatial resolution of images. It is especially useful for hyperspectral images (HSI), which have good spectral resolution but low spatial resolution. ...
详细信息
ISBN:
(纸本)9781509033324
Super-resolution Reconstruction (SRR) is technique to increase the spatial resolution of images. It is especially useful for hyperspectral images (HSI), which have good spectral resolution but low spatial resolution. In this study, we propose an improvement to our previous work and present a novel MAP-MRF (maximum a posteriori-Markov random Fields) based approach for the SRR of HSI. The key point of our approach is to find the abundance maps of an HSI and perform SRR on the abundance maps using MRF based energy minimization, without needing any other additional source of information. In order to do so, first, PCA is used to determine the endmembers. Second, SISAL and fully constraint least squares (FCLS) are used to estimate the abundance maps. Third, in order to find the high resolution abundance maps, the ill-posed inverse SRR problem for abundances is regularized with a MAP-MRF based approach. The MAP-MRF formulation is restricted with the constraints which are specific to the abundances. Using the non-linear programming (NLP) techniques, the convex MAP formulation is minimized and High Resolution (HR) abundance maps are obtained. Then, these maps are used to construct the HR HSI. This improved SRR method is verified on real data sets, and quantitative performance comparison is achieved using PSNR, SSIM and PSNR metrics. Our results indicate that this improved method gives very close results to the original high resolution images, keeps the spectral consistency, and performs better than the compared algorithms.
暂无评论