The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship traj...
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The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship trajectory in collision situation is presented as multistage decision-making in a fuzzy environment. The maneuverability parameters of the ship and the navigator's subjective assessment in making a decision are taken under consideration in the process model. (C) 2014 The Authors. Published by Elsevier B.V.
Two schemes of the branch-and-bound method for a flow shop total weighted tardiness minimization problem are proposed that differ in that a schedule in one scheme is constructed in a natural order (first, one chooses ...
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Two schemes of the branch-and-bound method for a flow shop total weighted tardiness minimization problem are proposed that differ in that a schedule in one scheme is constructed in a natural order (first, one chooses the first job in the schedule, then the second, etc.), whereas, in the second scheme, a schedule is constructed in the reverse order (first, one chooses the last job in the schedule, then the penultimate job, etc.). It is shown by numerical experiments that the efficiency of the methods essentially depends on the parameters of the problem, which can be easily calculated from the initial data. A criterion for choosing the most efficient method (from among the two) is proposed for any particular problem.
The efficiency of parallel implementations of the branch-and-bound method in discrete optimization problems is considered. A theoretical analysis and comparison of two parallel implementations of this method is perfor...
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This paper deals with the problem of optimal control at an isolated oversaturated intersection equipped with a signa1-group-oriented controller. The problem we consider is to determine elements of the signal plan (sta...
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This paper deals with the problem of optimal control at an isolated oversaturated intersection equipped with a signa1-group-oriented controller. The problem we consider is to determine elements of the signal plan (stages, their duration and sequence) so as to maximize the number of vehicles that can pass through the intersection during one cycle. The concents of signal plan structure, admissible stage sequences, and structural constraints are introduced, and the optimization problem is stated as the problem of finding the best closed path through the graph of possible sequences. The optimization technique is of branch-and -bound type. The proposed method gives an exact procedure for simultaneous determination of all signal plan elements, except for the cycle time. An illustrative example is also included.
The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship traj...
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The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship trajectory in collision situation is presented as multistage decision-making in a fuzzy environment. The maneuverability parameters of the ship and the navigator's subjective assessment in making a decision are taken under consideration in the process model.
Monotone optimization problems are an important class of global optimization problems with various applications. In this paper, we propose a new exact method for monotone optimization problems. The method is of branch...
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Monotone optimization problems are an important class of global optimization problems with various applications. In this paper, we propose a new exact method for monotone optimization problems. The method is of branch-and-bound framework that combines three basic strategies: partition, convexification and local search. The partition scheme is used to construct a union of subboxes that covers the boundary of the feasible region. The convexification outer approximation is then applied to each subbox to obtain an upper bound of the objective function on the subbox. The performance of the method can be further improved by incorporating the method with local search procedure. Illustrative examples describe how the method works. Computational results for small randomly generated problems are reported.
In this paper, the authors propose an algorithm using branch and boundmethod to search an optimal replacement scheduling of obsolete equipment in aged primary substations. The developed tool can efficiently find an o...
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ISBN:
(纸本)9781424483570
In this paper, the authors propose an algorithm using branch and boundmethod to search an optimal replacement scheduling of obsolete equipment in aged primary substations. The developed tool can efficiently find an optimal solution from huge combinations of replacement schedules. The objective function to be minimized is the net present value of the sum of operation and maintenance cost, replacement cost, and the reliability cost in case of CB failure for each substation during the specified time frame. To solve this problem under the constraints such as annual budget ceiling, number of replacement targets per annum, and replacement time frame for each substation, we apply the branch and boundmethod, which is well known as an efficient combinatorial optimization technique. The proposed algorithm is demonstrated using a small scale model (2 substations, 4-year time frame) to verify its effectiveness.
The Hartree-Fock (HF) method is widely used to obtain atomic and molecular electronic wave functions, based on the minimization of a functional of the energy. We propose to use a deterministic global optimization algo...
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The Hartree-Fock (HF) method is widely used to obtain atomic and molecular electronic wave functions, based on the minimization of a functional of the energy. We propose to use a deterministic global optimization algorithm, based on a branch-and-bound method, that applies techniques of interval arithmetic. This algorithm is applied directly to the minimization of the energy expression derived from the HF method. The proposed approach was successfully applied to the ground state of He and Be atoms. (c) 2005 Wiley Periodicals, Inc.
The Hartree-Fock (HF) method is widely used to obtain atomic and molecular electronic wave functions, based on the minimization of a functional of the energy. We propose to use a deterministic global optimization algo...
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The Hartree-Fock (HF) method is widely used to obtain atomic and molecular electronic wave functions, based on the minimization of a functional of the energy. We propose to use a deterministic global optimization algorithm, based on a branch-and-bound method, that applies techniques of interval arithmetic. This algorithm is applied directly to the minimization of the energy expression derived from the HF method. The proposed approach was successfully applied to the ground state of He and Be atoms. (c) 2005 Wiley Periodicals, Inc.
Due to the nature of integer variables, achieving multi-period optimal power flow (OPF) for AC/DC distribution networks (DNs) with integer variables via distributed algorithm presents significant technical challenges....
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Due to the nature of integer variables, achieving multi-period optimal power flow (OPF) for AC/DC distribution networks (DNs) with integer variables via distributed algorithm presents significant technical challenges. These challenges primarily arise from two aspects. First, the integer variables lead to the traditional distributed algorithms failing to converge or converging to locally optimal solutions. Second, the binary variables related to topology switching cannot be relaxed to continuous variables, making existing distributed algorithms inapplicable. To address these problems, we propose the following solutions: (1) the primal problem is decomposed into a master problem and multiple subproblems using the generalized Benders decomposition (GBD) algorithm, and an iterative process is defined to obtain the optimal solution;(2) employing the branch- and-boundmethod (BBM) to avoid uncomputable cutting planes due to integer variables in the subproblem;and (3) using two acceleration techniques to improve efficiency by warming up the BBM and reducing parameter transfer between the master and subproblems. The effectiveness and accuracy of the proposed method are proven by simulation results of a test system, showing that the algorithm converges to the optimal solution infinite time. Additionally, the distributed algorithm provides a practical solution for operators and enhances privacy.
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