The Set Covering Problem (SCP) has long been concentrating the interest of many researchers in the field of Combinatorial Optimization. SCP is a 0-1 integer programming problem that consists in finding a set of soluti...
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ISBN:
(纸本)9783319213804;9783319213798
The Set Covering Problem (SCP) has long been concentrating the interest of many researchers in the field of Combinatorial Optimization. SCP is a 0-1 integer programming problem that consists in finding a set of solutions which allow to cover a set of needs at the lowest cost possible. There are many applications of these kind of problems, the main ones are: location of services, files selection in a data bank, simplification of boolean expressions, balancing production lines, among others. Different metaheuristics have been proposed to solve it. Here, we present the possibilities to solve Set Covering Problems with harmonysearch.
In cellular mobile communication network, for using the limited available spectrum to meet the increasing demand of customer, it is important to scheme frequency source by applying some optimized algorithm. To the que...
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In cellular mobile communication network, for using the limited available spectrum to meet the increasing demand of customer, it is important to scheme frequency source by applying some optimized algorithm. To the question, an improved discrete harmonyalgorithm is proposed, particle location update strategies of the particle swarm optimization algorithm is introduced, the probability of harmony memory size and the probability of pitch adjusting rate are adjusted dynamically, which improve the global optimization stability of the search results, enhance the universality and robustness of the algorithm, and improve the convergence rating and the convergence speed. Simulation results show that the improved algorithm applied to solve the problem of frequency assignment has achieved good results.
In a recent article the authors reviewed the principles of harmonysearch and journal articles on harmony search algorithm (HSA). This article presents a review of applications of HSA including structural design, hydr...
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In a recent article the authors reviewed the principles of harmonysearch and journal articles on harmony search algorithm (HSA). This article presents a review of applications of HSA including structural design, hydrologic model design, water distribution network design, water pump switching problem, transmission network expansion planning problem, job shop scheduling problem, university timetable and rosterering problem, training neural networks, clustering, combined heat and power economic dispatch problem, economic load dispatch problem, and economic and emission dispatch problem.
The redundancy optimization problem is a well known NP-hard problem which involves the selection of elements and redundancy levels to maximize system performance, given different system-level constraints. This article...
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The redundancy optimization problem is a well known NP-hard problem which involves the selection of elements and redundancy levels to maximize system performance, given different system-level constraints. This article presents an efficient algorithm based on the harmony search algorithm (HSA) to solve this optimization problem. The HSA is a new nature-inspired algorithm which mimics the improvization process of music players. Two kinds of problems are considered in testing the proposed algorithm, with the first limited to the binary series-parallel system, where the problem consists of a selection of elements and redundancy levels used to maximize the system reliability given various system-level constraints;the second problem for its part concerns the multi-state series-parallel systems with performance levels ranging from perfect operation to complete failure, and in which identical redundant elements are included in order to achieve a desirable level of availability. Numerical results for test problems from previous research are reported and compared. The results of HSA showed that this algorithm could provide very good solutions when compared to those obtained through other approaches.
Transmission network expansion planning (TNEP) is a very important problem in power systems. It is a mixed integer, non-linear, non-convex optimisation problem, which is very complex and computationally demanding. Var...
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Transmission network expansion planning (TNEP) is a very important problem in power systems. It is a mixed integer, non-linear, non-convex optimisation problem, which is very complex and computationally demanding. Various meta-heuristic optimisation techniques have been tried out for this problem. However, scope for even better algorithms still remains. In view of this, a new technique known as harmonysearch is presented here for TNEP with security constraints. This technique has been reported to be robust and computationally efficient compared to other meta-heuristic algorithms. Results for three sample test systems are obtained and compared with those obtained with genetic algorithm and bacteria-foraging differential evolution algorithm to verify the potential of the proposed algorithm.
This paper presents a new strategy includes of fuzzy PID controller and Flexible AC transmission system (FACTS) devices in power system for damping the oscillation. This models improves the stability in multi-machine ...
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This paper presents a new strategy includes of fuzzy PID controller and Flexible AC transmission system (FACTS) devices in power system for damping the oscillation. This models improves the stability in multi-machine power system by coupling the fuzzy controller with an intelligent algorithm and equipping the FACTS devices to control voltages and power flows. Also, the thyristor-controlled series capacitor (TCSC) as well as Static VAR Compensator (SVC) effects have been considered in this design. The harmony search algorithm (HSA) is applied in this model for fine tuning of the fuzzy PID parameters through time overriding and stability enhancement of proposed controller. Effectiveness of the proposed approach is applied over standard multi-machine power system through comparison with other techniques. Obtained results demonstrate the validity of proposed strategy.
This paper proposes the use of series FACTS devices to relieve congestion and enhance the security in restructured power *** searchalgorithm as a novel heuristic algorithm is employed for optimal locating and sizing ...
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This paper proposes the use of series FACTS devices to relieve congestion and enhance the security in restructured power *** searchalgorithm as a novel heuristic algorithm is employed for optimal locating and sizing of series FACTS *** order to reduce the solution space and to pinpoint the lines which are more suitable for FACTS device placement line outage sensitivity factors is *** different objective functions are considered in the optimization problem,the first one is the total congestion cost and the other is total generation *** validate the effectiveness of the proposed method and show its efficiency,the simulations are carried out on IEEE14-bus test *** results of the proposed method are compared with those obtained by particle swarm optimization and with those obtained by congestion rent contribution method.
Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmonysearch(HS) algorithm is used to optimize the back propagation n...
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Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmonysearch(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.
In order to improve the intelligent diagnosis level of an on-load tap-changer's (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was prop...
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In order to improve the intelligent diagnosis level of an on-load tap-changer's (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was proposed. The harmonysearch (HS) algorithm was used to optimize the parameter selection of the relevance vector machine (RVM). Firstly, the OLTC vibration signal was decomposed into a series of finite-bandwidth intrinsic mode function (IMF) by VMD under different working conditions. The weight divergence was extracted to characterize the complexity of the vibration signal. Then, weight divergence was used as training and test samples of the harmonysearch optimization-relevance vector machine (HS-RVM). The experimental results suggested that the proposed integrated model has high fault diagnosis accuracy. This model can accurately extract the characteristics of the mechanical condition, and provide a reference for the practical OLTC intelligent fault diagnosis.
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