Profile shift has an immense effect on the sliding, load capacity, and stability of involute cylindrical gears. Available standards such as ISO/DIS 6336 and BS 436 DIN/3990 currently give the recommendation for the se...
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Profile shift has an immense effect on the sliding, load capacity, and stability of involute cylindrical gears. Available standards such as ISO/DIS 6336 and BS 436 DIN/3990 currently give the recommendation for the selection of profile shift coefficients. It is, however, very approximate and usually given in the form of implicit graphs or charts. In this article, the optimal selection values of profile shift coefficients for cylindrical involute spur and helical gears are described, using a differential evolution algorithm. The optimization procedure is developed specifically for exact balancing specific sliding coefficients at extremes of contact path and account for gear design constraints. The obtained results are compared with those of standards and research of other authors. They demonstrate the effectiveness and robustness of the applied method. A substantial improvement in balancing specific sliding coefficients is found in this work.
In this paper, we propose a differential evolution algorithm with local search to solve the resource investment project scheduling problems (RIPSPs), labeled as DELS-RIPSP. Project tardiness is not permitted during th...
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ISBN:
(纸本)9781479974924
In this paper, we propose a differential evolution algorithm with local search to solve the resource investment project scheduling problems (RIPSPs), labeled as DELS-RIPSP. Project tardiness is not permitted during the process of optimization. DELS-RIPSP improves the population quality by changing existing chromosomes to those with better fitness using the local search operator in order to reduce resource cost. The performance of DELS-RIPSP is validated on 450 benchmark problems, including Mohring instances and ProGen instances with 10, 14 and 20 non-dummy activities. The percentages of optimal solutions under a fixed number of evaluations are reported. The experimental results illustrate the effectiveness of the proposed algorithm and its potential for solving RIPSPs.
Adaptive differential evolution algorithm based on gradient and polar coordinates search strategies (ADE) is proposed in this paper. In order to improve the precision of solutions, gradient and polar coordinates searc...
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ISBN:
(纸本)9781467386609
Adaptive differential evolution algorithm based on gradient and polar coordinates search strategies (ADE) is proposed in this paper. In order to improve the precision of solutions, gradient and polar coordinates search strategies are introduced. Since the gradient search strategy generates offsprings using the derivative definition, it will accelerate the convergence speed. Polar coordinates search strategy can help the algorithm jump out of the local optimization and avoid continuously searching in wrong direction. The simulation results show that the proposed algorithm has better results compare to SaDE, NSDE and CMAES for benchmark functions 1 similar to 14 in CEC2005.
Parallel test-sheet generation (PTSG) is a NP-hard constrained combinatorial optimization problem. For the large scale PTSG problem in real-world applications, evolutionary algorithm is an attractive way to find high ...
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ISBN:
(纸本)9781467368506
Parallel test-sheet generation (PTSG) is a NP-hard constrained combinatorial optimization problem. For the large scale PTSG problem in real-world applications, evolutionary algorithm is an attractive way to find high quality solutions. For its reliability and high performance, differential evolution algorithm (DE) has been a promising optimizer in evolutionary computing. In this paper, DE algorithm with the state-of-the-art rand/1/Either-Or mutation scheme is designed to solve PTSG problem. A simple truncating encoding method and an elaborately designed constraint effective encoding method for DE are developed. To evaluate the performance of the proposed DE algorithm, simulation experiment was conducted on a series of item banks with different scales. Superiority of the proposed constraint effective encoding method is demonstrated by comparing it with truncating encoding strategy.
The accuracy of the spacecraft mass parameters is the important precondition for spacecraft precision attitude and orbit control, differentialevolution (DE) algorithm is proposed for this to identify spacecraft mass ...
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ISBN:
(纸本)9781467377232
The accuracy of the spacecraft mass parameters is the important precondition for spacecraft precision attitude and orbit control, differentialevolution (DE) algorithm is proposed for this to identify spacecraft mass characteristics. The object function of identification is obtained on the account of the spacecraft dynamics model, respectively using the flywheel and thruster as the acting force. Then, on-orbit spacecraft inertia parameters identification and one-time offline mass characteristic parameters identification are implemented by the DE method. The proposed method does not require the status of the spacecraft rigorously, needs less amount of sampling data, and has faster convergence speed and less time. Results of simulation demonstrate effectiveness of the proposed method.
This paper presents an enhanced differential evolution algorithm (EnDEA) to solve economic dispatch (ED) problem of generating units considering valve-point effects and system losses. The aim of ED problem is to achie...
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ISBN:
(纸本)9781467396820
This paper presents an enhanced differential evolution algorithm (EnDEA) to solve economic dispatch (ED) problem of generating units considering valve-point effects and system losses. The aim of ED problem is to achieve optimal generation scheduling of power plants, which has minimum total production cost associated with technical and economical constraints. The efficiency and effectiveness of the proposed method is initially demonstrated via the analysis of 10-unit test system considering valve-point loading and system losses constraints. Furthermore, multiple fuels of thermal power plant are included and investigated in this ED problem. A detailed comparative study between a conventional differential evolution algorithm (CDEA) and the proposed EnDEA method is presented. Regarding the experimental results, the proposed technique obtained solutions with good accuracy, stable convergence characteristics, and satisfactory calculation time.
In this paper, the contemporaneous coordinated design of power system stabilizer (PSS) and static synchronous series compensator (SSSC) based damping controller is presented. The coordinated design of remote speed dev...
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ISBN:
(纸本)9781509000760
In this paper, the contemporaneous coordinated design of power system stabilizer (PSS) and static synchronous series compensator (SSSC) based damping controller is presented. The coordinated design of remote speed deviation (Delta omega) based PSS with Delta omega based SSSC based ProportionalIntegral (PI) controller and Delta omega based PSS with Delta omega based SSSC lead lag (LL) controller with associated time delay is considered for the proposed analysis. The proposed systems are applied under different loadings and fault locations for effectiveness and robustness. The differentialevolution (DE) algorithm is carried out to find out the optimal coordinated control parameters for both single and multi-machine power system. The performance of the proposed controllers are compared and analyzed, It is clear from that Delta omega based PSS with Delta omega based LL structured SSSC gives better response than with Delta omega based PSS with Delta omega based PI structured SSSC controller in terms of settling time and overshoot.
In this paper, we propose a differential evolution algorithm to solve the resource investment problem (RIP) with tardiness, which is one class of project scheduling problems. The tardiness of a project is allowed with...
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ISBN:
(纸本)9781479974924
In this paper, we propose a differential evolution algorithm to solve the resource investment problem (RIP) with tardiness, which is one class of project scheduling problems. The tardiness of a project is allowed with defined penalty. We adapt a self-adaptive differential evolution algorithm combined with a local search operator to solve this problem. The performance of this algorithm is evaluated using 450 problem instances. The results show that these instances can reach their optimal solutions in a fixed number of schedules evaluated. The experimental results are quite satisfactory.
In this paper, the differential evolution algorithm is employed to optimize the element spacing and length of mutually coupled 5 elements dipole linear array antenna (DLAA), to achieve maximum directivity (D), minimum...
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ISBN:
(纸本)9781467369817
In this paper, the differential evolution algorithm is employed to optimize the element spacing and length of mutually coupled 5 elements dipole linear array antenna (DLAA), to achieve maximum directivity (D), minimum half power beam width (HPBW), and maximum front to side lobe level (FSLL). Two different designs of DLAA are presented comprising of 5 elements such as one with optimization and another with without optimization to observe the dominance of optimized one over the other. To evaluate performance of the optimally designed 5 elements DLAA, a result comparison is also made with the 6 elements DLAA as found from previously published results.
Fuel cost curve of thermal power plants are generally based on steady state measurements and are constantly influenced by several aspects such as the operating temperature and oldness of generators. Therefore, it is v...
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ISBN:
(纸本)9781467396691
Fuel cost curve of thermal power plants are generally based on steady state measurements and are constantly influenced by several aspects such as the operating temperature and oldness of generators. Therefore, it is very important to periodically update the coefficients of fuel cost characteristics in order to reflect changes in operating conditions and ensure economic operation of power systems. This paper proposes a novel application of differentialevolution ( DE) algorithm for estimating the optimal parameters of fuel cost curves of thermal units. The estimation problem is converted into a minimization problem, where the objective function is the total absolute error to be minimized. The performance of the proposed method is demonstrated through several test cases using different models of the generator fuel cost curve. The results of the proposed approach are compared with other methods published in the literature. The comparison results confirm the effectiveness and superiority of the proposed DE algorithm for solving the described estimation problem.
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