The shortage of water resources (WR) directly affects the economic development and ecological environment in the region, and optimizing the allocation of water resources engineering (WRE) projects is the most valid me...
详细信息
The shortage of water resources (WR) directly affects the economic development and ecological environment in the region, and optimizing the allocation of water resources engineering (WRE) projects is the most valid method to solve this problem. Traditional WR allocation methods can no longer solve the complex configuration problems of complex WRE projects, and the emergence of artificial intelligence (AI) technology has not provided new technologies and methods for optimizing WR allocation. This article conducted research on multi-objective optimization configuration of WRE based on AI technology. First, it introduced the current situation and future development direction of WR allocation, indicating the transformation of WR allocation from single-objective optimization to multi-objective optimization, and the importance of WR allocation, which should be coordinated from multiple aspects such as economy, society, and ecology. Experiments were conducted on its multi-objective genetic algorithm from three aspects: water use assurance rate, economic and ecological benefits, and execution efficiency.
Purpose - The purpose of this paper is to present an effective optimization strategy applied in a physical structure optimization of a semiconductor power metal oxide semiconductor field-effect transistor (MOSFET), wi...
详细信息
Purpose - The purpose of this paper is to present an effective optimization strategy applied in a physical structure optimization of a semiconductor power metal oxide semiconductor field-effect transistor (MOSFET), with an expensive integration constraint computation. Design/methodology/approach - In order to deal with inaccuracy due to inevitable numerical errors in the objective function calculation (the power losses of the power MOSFET) and in the constraint computation, the paper proposes to use the progressive quadratic response surface method (PQRSM). Findings - The paper focuses on four aspects: the inevitable numerical errors in the power loss and the integration constraint computation;the response surface approximation (RSA) method;the PQRSM principle;and finally the comparisons of several optimization methods applied on this application problem. Originality/value - An original optimization method, PQRSM, is proposed for reducing the oscillation problem of a semi-analytical model. The optimization results of PQRSM have been compared with the evolution strategy (ES) algorithm, with similar results but faster computation.
The paper presents a physical structure optimization of an integrated semiconductor device: a power MOSFET and other vertical transistors are integrated within the same die, introducing a novel self supplied power tra...
详细信息
The paper presents a physical structure optimization of an integrated semiconductor device: a power MOSFET and other vertical transistors are integrated within the same die, introducing a novel self supplied power transistor. This integrated optimal design leads to complex optimization problems with close constraints. The main constraint model deals with the avalanche phenomenon that is formulated by multiple integral expressions of implicit functions. The paper focuses on two aspects: the integral formulation of the avalanche model and more specifically its gradient computation in the aim of applying a gradient-based optimization algorithm, and the comparisons of several optimization methods on this problem.
New hybrid methods for approximating the Pareto frontier of the feasible set of criteria vectors in nonlinear multicriteria optimization problems with nonconvex Pareto frontiers are considered. Since the approximation...
详细信息
The Hohlfeld-Cohen-Rumsey (HCR) Principle describes the necessary and sufficient conditions for all frequency independent antennas, in terms of the fractal scaling properties of a radiating configuration and the symme...
详细信息
ISBN:
(纸本)078037827X
The Hohlfeld-Cohen-Rumsey (HCR) Principle describes the necessary and sufficient conditions for all frequency independent antennas, in terms of the fractal scaling properties of a radiating configuration and the symmetries obeyed by the source currents required by Maxwell's equations. By illustration, we explicitly apply the HCR Principle to the design of a frequency independent planar array covering a frequency range of 2.5:1. A genetic algorithm was used to optimally place the array elements within the template subarray, minimizing the height of sidelobes relative to the main lobe. The symmetry constraints embodied in the HCR Principle lead to an efficient genome in the genetic algorithm so that more efficient optimization is obtained. Beam patterns are seen to be invariant across the passband, showing the practical use of the HCR Principle in a wideband array. This methodology constitutes a general approach to design of frequency independent phased arrays.
暂无评论