This paper studies the reverse logistics vehicle routing problem of simultaneous distribution of commodities and collection of reusable ones the same size as the initial state with a single depot and a homogeneous fle...
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This paper studies the reverse logistics vehicle routing problem of simultaneous distribution of commodities and collection of reusable ones the same size as the initial state with a single depot and a homogeneous fleet of vehicles with limited capacities and maximum distance, and constructs a mixed integer programming model. To solve this problem, an Ant Colony System (ACS) approach combining with the pheromone updating strategy of ASRank (Rank-based Version of Ant System) and MMAS (MAX-MIN Ant System) is proposed. A new heuristic factor is designed to improve the vehicle loading ability as well as the vehicle distance, and the initial vehicle load is designed to be a random value correlated to the delivery and pick-up demand of the rest customers on the path. The experimental study indicates that the approach could improve the vehicle load rate and get rid of the additional total distance caused by the fluctuating vehicle load and the limited capacity. It could obtain the satisfied solution with high convergence speed in the acceptable time.
This article investigates the reverse logistics vehicle routing problem with a single depot, simultaneous distribution and collection of the goods by a homogeneous fleet of vehicles under the restrictions of maximum c...
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This article investigates the reverse logistics vehicle routing problem with a single depot, simultaneous distribution and collection of the goods by a homogeneous fleet of vehicles under the restrictions of maximum capacities and maximum distance. A mixed integer programming model is established. To solve the model, an Ant Colony System (ACS) approach combined with the pheromone updating strategy of ASRank and MMAS ant algorithm is proposed. In such approach, the vehicle residual loading capacity is introduced into the heuristic function considering the complex feature of fluctuating vehicle load. Moreover, the initial load is designed to be a random value correlated to the delivery and pick-up demands of the rest clients. The experimental study indicates that the proposed approach could improve the vehicle load rate and avoid the added total distance caused by the fluctuating load and the maximum capacity constraint. It could reach the satisfied solutions with high convergence speed in an acceptable computational time.
Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfact...
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Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two English words by exploring the utility of HowNet, which is a valuable Chinese-English bilingual knowledge base. When compared with a benchmark set by human similarity judgment, the measures achieved by our algorithm are quite sound.
Extracting fuzzy rules automatically from data is a research direction of fuzzy system and data mining. The WM method is the one of the earliest algorithms. However, it only selects the rules which have the maximal de...
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ISBN:
(纸本)9780784409329
Extracting fuzzy rules automatically from data is a research direction of fuzzy system and data mining. The WM method is the one of the earliest algorithms. However, it only selects the rules which have the maximal degree, so it does not consider other conflicting rules. Two other methods are presented in this paper to select fuzzy rules, and one simulation data and one field traffic flow data are used to compare all three methods. The comparative results show that the weighted mean method has the best robustness and error-tolerance, which is more suitable for extracting rules from the real data with noise. Copyright ASCE 2007.
This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in th...
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ISBN:
(纸本)9780819469502
This paper introduces a new class of switching vector median filter. The proposed algorithm first uses four directional masks to analyze the color difference between the central pixel and its neighborhood pixels in the RGB color space and classify each color pixel into noisy pixel or noise-free one, and then employs the standard vector median filtering operations in the detected noisy locations to restore the corrupted pixels and leave the noise-free ones unchanged. The simulation results show that the proposed method excellently suppresses impulsive noise as well as preserving the image details well, and significantly outperforms the existing vector filtering solutions in terms of both the objective measures and the perceptual visual quality.
Knowledge engineering stems from E. A. Figenbaum's proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to s...
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Knowledge engineering stems from E. A. Figenbaum's proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to show possibility of separating knowledge development from intelligent software development. We call it the ICAX mode of intelligent application software generation. The key of this mode is to generate knowledge base, which is the source of intelligence of ICAX software, independently and parallel to intelligent software development. That gives birth to a new and more general concept "knowware". Knowware is a commercialized knowledge module with documentation and intellectual property, which is computer operable, but free of any built-in control mechanism, meeting some industrial standards and embeddable in software/hardware. The process of development, application and management of knowware is called knowware engineering. Two different knowware life cycle models are discussed: the furnace model and the crystallization model. Knowledge middleware is a class of software functioning in all aspects of knowware life cycle models. Finally, this paper also presents some examples of building knowware in the domain of information system engineering.
We propose two types of evolving networks: evolutionary Apollonian networks (EANs) and general deterministic Apollonian networks (GDANs), established by simple iteration algorithms. We investigate the two networks by ...
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We propose two types of evolving networks: evolutionary Apollonian networks (EANs) and general deterministic Apollonian networks (GDANs), established by simple iteration algorithms. We investigate the two networks by both simulation and theoretical prediction. Analytical results show that both networks follow power-law degree distributions, with distribution exponents continuously tuned from 2 to 3. The accurate expression of clustering coefficient is also given for both networks. Moreover, the investigation of the average path length of EAN and the diameter of GDAN reveals that these two types of networks possess small-world feature. In addition, we study the collective synchronization behavior on some limitations of the EAN.
This paper proposes a mixed integer-programming model for order planning of iron-steel enterprise. Because this problem is a kind NP-hard problem and the size of this problem is bigger, the genetic algorithm based on ...
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This paper presents a Chinese parsing method which takes Data-Oriented Parsing technique as the basic framework and utilizes the similarity-based probability estimate technique. Through the initial selection process, ...
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Retrieving similar video clips from large video database requires high query efficiency, precision and recall, which remains a challenging problem since the traditional query algorithms arc inefficient and time-consum...
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ISBN:
(纸本)0780392892
Retrieving similar video clips from large video database requires high query efficiency, precision and recall, which remains a challenging problem since the traditional query algorithms arc inefficient and time-consuming. In this paper, we adopt the high-dimensional index structure Vector-Approximation File (VA-File) to organize the video database, and propose a new similarity measure which takes the temporal order among the video representations into account to improve the accuracy of query. Based on the VA-File and similarity measure, a new video clip retrieval algorithm is proposed in our method to achieve high query efficiency by using restricted sliding window to construct candidate video clips. Experimental results show that the proposed video retrieval method is efficient and effective.
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