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In this paper transmission power system structure optimization is performed via a minimal spanning tree based encoded fuzzy logic self-controlled hybrid genetic algorithm (GA). During the redundancy optimization of the power system network a binary encoded GA is used for a modified transmission network expansion problem, finding the optimal power line type with respect to the net present value (NPV)...
In view of the design sample of crank-rocker linkage, considering the uncertainty of the design variable value and load-bearing capacity, and satisfying the Grashof condition and the transmission performances, the fuzzy optimization mathematic model is established to minimize the deviation between the desired and the calculated path law of motion. The method of second-class comprehensive evaluation...
As belt transmission can offer a maximum of versatility as power transmission elements and allow the designer considerable flexibility in selecting a location of driver and driven machinery, and can operate smoothly and silently, therefore it is very necessary to use advanced methods to design the belt transmission. Considering the random character of the design parameters and load-bearing capacity,...
To deal with optimal design problem of manufacturing/remanufacturing (M/R) logistics network under uncertain circumstance, a two-stage stochastic-fuzzy programming model is developed, which involves continuous distribution stochastic parameters and fuzzy triangle or tolerance parameters. With the help of the model, the following items can be computed such as the optimal sites and numbers of M/R factory,...
In this paper, the vehicle routing problem with fuzzy demands is considered, and in view of vehicle routing problem of multi-vehicle single cart yard has uncertain demand, a multi-objection fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is given to solve the vehicle routing model. At the same time, the influence...
Firstly, the paper makes a briefly analysis and comment about the fuzzy c-means clustering algorithm. Then a new kind of hybrid genetic algorithm is proposed on the base of the combination of genetic algorithm and simulated annealing algorithm, and it is applied in fuzzy c-means clustering. It overcomes the locality and the Sensitivity to initial clustering central of fuzzy c-means clustering, by...
In this paper, the multiple-depot vehicle routing problem with fuzzy demands is considered, on the basis of uncertain demand of multiple-depot vehicle routing problem, a fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is used to solve the vehicle routing model. In genetic algorithm, a new code is given, and...
The uncertainty in many engineering problems can be handled through probabilistic, fuzzy, or interval methods. This paper aims to use a hybrid genetic algorithm for tackling such problems. The proposed hybrid algorithm integrates a simple local search strategy as the worst-case-scenario technique of anti-optimization with a constrained multi-objective evolutionary algorithm. The work demonstrates...
The Multi-Depot Vehicle Routing Problem with time-dependent and fuzzy travel time is very difficult to solve to optimality even for relatively small size instances. So few or no literatures have focused on the problem so far. But it is very close to real world and can make the schedule more availability and more flexible. So this paper focuses on modeling and solution of the problem. A model of MDVRPTW...
This paper builds up a network-topology model of cycle quality chain based on improved supply chain operational reference (SCOR) model, realizing cycle operation by an added quality process of reverse manufacturing. Defines the concept of cycle quality chain management , and analyzes its cost subjects in network structure according to positive and reverse quality processes. All the quality processes...
The aim of this paper is to deal with the resource-constrained multiple project scheduling problems (rc-mPSP) with fuzzy coefficients, which is well known one of NP-hard problems, by a hybrid genetic algorithm with fuzzy logic controller (flc-hGA). The objective in this paper is to minimize total project time in the project. Because traditional optimization techniques canpsilat cope with the rc-mPSP...
Focused on the multiple of object and uncertainty of environment for 3PLS to design the customizing logistics facility network, a fuzzy multi-object programming model and solution are studied deeply in this paper, the integration of the forward and reverse logistics demand for 3PLSpsila clients, and multi-commodity, multi-customer and capacitated facility location-allocation problem are taken into...
This paper deals with two relevant problems: calculating bounds on the float and determining the type of criticality, in the network with imprecise durations which are represented by means of intervals or fuzzy intervals. There exist different types of critical activity in the network with interval durations; an activity can be either necessarily noncritical, or necessarily critical, or possibly critical...
According to the complexity and risk of the reverse logistics, the main objective of this paper is to propose a multistage methodology for designing a reverse logistics network from the risk management perspective. Firstly, we applied fuzzy DEA model to assess the candidate reverse logistics suppliers based on the risk management. Furthermore, we founded a mixed integer programming model by considering...
With the intensification of market competition and fast development of science and technology, many enterprises have begun to realize the importance of logistic distribution vehicle routing problem under uncertainty environment, and begin to pay more attention to the research of this problem. In this paper, The traditional vehicle routing problem with time windows is expanded to the situation that...
The main objective of this paper is to study the remanufacturing logistics network design problem from third party logistics supplier (3PLS)' perspectives under the uncertain environment. In order to mitigate the potential risks we described the uncertainty of the remanufacturing logistics activities during the procedure of constructing the reverse logistics networks for 3PLS' customers. Therefore,...
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