Access distributed power will take great influence to distribution network's safe and economic operation. This paper established a distribution network planning economic model and analyzed the advantages and disad...
详细信息
ISBN:
(纸本)9783037858615
Access distributed power will take great influence to distribution network's safe and economic operation. This paper established a distribution network planning economic model and analyzed the advantages and disadvantages of various planning algorithms, and propose an adaptive parallel genetic algorithm. This algorithm can overcome premature phenomenon of standard genetic algorithm, and the ability is better to seek the global optimal solution.
Currently, the electricity infrastructure has remained for a long time, while the demand of electricity is increasing. Smart systems could be employed to improve the performance of electric power grid and reduce the. ...
详细信息
ISBN:
(纸本)9783037856345
Currently, the electricity infrastructure has remained for a long time, while the demand of electricity is increasing. Smart systems could be employed to improve the performance of electric power grid and reduce the. Especially, the communication technology and optimization technology of smart systems are able to enhance the reliability, stabilization and efficiency of the grid. In this paper, several different communication and optimization technologies are compared and analysed. Finally, the summary is obtained of the utilization of smart systems in order to improve the electric power grid.
A microimmune optimization algorithm presented in this paper was considered for solving inverse kinematics of a redundant robotic arm. For this purpose, a multiobjective criterion was defined to compare performances o...
详细信息
ISBN:
(纸本)9781479906529
A microimmune optimization algorithm presented in this paper was considered for solving inverse kinematics of a redundant robotic arm. For this purpose, a multiobjective criterion was defined to compare performances of microimmune and microgenetic algorithms. Multiobjective optimization was used to determine a set of best algorithms, and the microimmune algorithm proved superior in solving a selected optimization problem. The assessment of time needed for algorithms to solve the inverse kinematics problem on-line was made based on the tests carried out on a low-cost microcontroller.
Firstly, the current situation of China and the necessity of importing virtual simulation technologies in production manufacturing were analyzed. And then, virtual simulation, Virtual manufacturing and their advantage...
详细信息
ISBN:
(纸本)9783037857519
Firstly, the current situation of China and the necessity of importing virtual simulation technologies in production manufacturing were analyzed. And then, virtual simulation, Virtual manufacturing and their advantages were introduced. After that, the current developments of the virtual simulation technology at home and abroad were reviewed. Based on the analyses of the advantages of the current researches, virtual simulation technology existing issues and improving approaches were pointed out. Finally, the development direction was proposed.
This paper introduces a distributed self-relocation algorithm used in mobile wireless sensor networks with random initial deployments. The algorithm aims at changing the relative distance of the sensors in different d...
详细信息
ISBN:
(纸本)9781467331050;9781467331043
This paper introduces a distributed self-relocation algorithm used in mobile wireless sensor networks with random initial deployments. The algorithm aims at changing the relative distance of the sensors in different directions and converging within ten rounds. Simulation results show the algorithm produces a 95% coverage ratio on average in all different initial deployments with average initial coverage ratio from 50% to 80%. Results also show the algorithm works for different sensing models such as binary model and probability model. The algorithm is also robust against inaccurate geo-location information.
In this paper, we show the 2D and 3D scatterometry simulation software which has spectroscopy calculation and optimization algorithm systems. The scatterometry analysis for 3D-structure requires a lot of memory and al...
详细信息
ISBN:
(纸本)9780819494634
In this paper, we show the 2D and 3D scatterometry simulation software which has spectroscopy calculation and optimization algorithm systems. The scatterometry analysis for 3D-structure requires a lot of memory and along calculation time. The calculation is sped up by parallel computing using the GPU (Graphics Processor Unit). Here, we use the programming language CUDA (Compute Unified Device Architecture) and CULA (CULApack) for the NVIDIA GPU. Then, we use the real-coded GA (RCGA) to increase the population, to make a more sensitive solution and to get better fitting groove figures. The scatterometry characteristic is examined by choosing the n-th power cosine type period groove.
Modelling, simulation and optimization form an integrated part of modern design practice in engineering and industry. Tremendous progress has been observed for all three components over the last few decades. However, ...
详细信息
Modelling, simulation and optimization form an integrated part of modern design practice in engineering and industry. Tremendous progress has been observed for all three components over the last few decades. However, many challenging issues remain unresolved, and the current trends tend to use nature-inspired algorithms and surrogate-based techniques for modelling and optimization. This 4th workshop on Computational optimization, Modelling and Simulation (COMS 2013) at ICCS 2013 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry. In this review paper, we will analyse the recent trends in modelling and optimization, and their associated challenges. We will discuss important topics for further research, including parameter-tuning, large-scale problems, and the gaps between theory and applications.
The research study proposes to examine a three-dimensional visualization program, emphasizing on improving genetic algorithms through the optimization of a layout design-based standard and discrete shipbuilding worksh...
详细信息
The research study proposes to examine a three-dimensional visualization program, emphasizing on improving genetic algorithms through the optimization of a layout design-based standard and discrete shipbuilding workshop. By utilizing a steel processing workshop as an example, the principle of minimum logistic costs will be implemented to obtain an ideological equipment layout, and a mathematical model. The objectiveness is to minimize the total necessary distance traveled between machines. An improved control operator is implemented to improve the iterative efficiency of the genetic algorithm, and yield relevant parameters. The Computer Aided Tri-Dimensional Interface Application （CATIA） software is applied to establish the manufacturing resource base and parametric model of the steel processing workshop. Based on the results of optimized planar logistics, a visual parametric model of the steel processing workshop is constructed, and qualitative and quantitative adjustments then are applied to the model. The method for evaluating the results of the layout is subsequently established through the utilization of AHP. In order to provide a mode of reference to the optimization and layout of the digitalized production workshop, the optimized discrete production workshop will possess a certain level of practical significance.
Based on the producing 1, 3-propanediol from microorganism continuous fermentation, we study the algorithm and its convergence for the optimal model in this paper. First, taking the zero of the optimality function as ...
详细信息
Based on the producing 1, 3-propanediol from microorganism continuous fermentation, we study the algorithm and its convergence for the optimal model in this paper. First, taking the zero of the optimality function as the terminal criteria, an algorithm for the discrete time system of the optimal model is given with the step-size determined by Armijo line search and the search direction by gradient method. By the result that the discrete time system converges to the continuous time optimal model, the optimality function of the discrete time system is a consistent approximation to the one of the continuous time optimal model and an algorithm for the optimal model is given too. The convergence of the algorithm is proved. At last, it shows that the optimal model describes the experiment correctly and the algorithm is feasible by comparing the computing value with the dates in laboratory.
A decomposition-based optimization algorithm is proposed for solving large job shop scheduling problems with the objective of minimizing the maximum lateness. First, we use the constraint propagation theory to derive ...
详细信息
A decomposition-based optimization algorithm is proposed for solving large job shop scheduling problems with the objective of minimizing the maximum lateness. First, we use the constraint propagation theory to derive the orientation of a portion of disjunctive arcs. Then we use a simulated annealing algorithm to find a decomposition policy which satisfies the maximum number of oriented disjunctive arcs. Subsequently, each subproblem (corresponding to a subset of operations as determined by the decomposition policy) is successively solved with a simulated annealing algorithm, which leads to a feasible solution to the original job shop scheduling problem. Computational experiments are carried out for adapted benchmark problems, and the results show the proposed algorithm is effective and efficient in terms of solution quality and time performance.
暂无评论