نتایج جستجو برای: bi section optimization
تعداد نتایج: 513566 فیلتر نتایج به سال:
In this paper a new type of multi-objective differential evolution employing dynamically tunable mutation factor is used to optimally design non-linear vehicle model. In this way, non-dominated sorting algorithm with crowding distance criterion are combined to fuziified mutation differential evolution to construct multi-objective algorithm to solve the problem. In order to achieve fuzzified mut...
The paper illustrates the application of a combined adaptive particle swarm optimization (A-PSO) algorithm and the finite strip method (FSM) to the lay-up optimization of symmetrically fiber-metal laminated (FML) composite shallow shell panels for maximizing the fundamental frequency. To improve the speed of the optimization process, adaptive inertia weight was used in the particle swarm optimiz...
A linear protocol failure for RSA with exponent three. A method for obtaining digital signatures and public-key cryptosystems. distribution protocol for digital mobile communication systems. are linear combinations of the unknowns b j with known coeecients, S i0 can compute a linear relation that holds among the shares: k X j=0 p j Bi j = 0 m o d N: 2 Since server S i0 knows p 0 Bi 0 , which is...
In this paper we analyze how to improve the benefits of n producers when: (1) each producer i faces a linear production problem given by max{ci xi : Ai xi ≤ bi , xi ≥ 0}, and (2) maintaining the production capabilities of each producer is mandatory. In order to maximize the benefits, the producers decide to trade their resources while ensuring their initial individual gains. We study the games ...
A new topology optimization algorithm is proposed based on bi-directional evolutionary structural optimization (BESO) method in order to design photonic crystals with maximum band gaps. The optimization process starts from a simple unit cell without band gap, and the photonic crystals are assumed to be periodically composed of two materials with different permittivity. Based on finite element a...
Some recent works in machine learning and computer vision involve the solution of a bilevel optimization problem. Here the solution of a parameterized lower-level problem binds variables that appear in the objective of an upper-level problem. The lower-level problem typically appears as an argmin or argmax optimization problem. Many techniques have been proposed to solve bi-level optimization p...
The cold spray technology mainly accelerates the powder in Laval nozzle by gas, ensuring that has a greater velocity at exit of nozzle, and achieving high-efficiency deposition on substrate, thereby obtaining better performance coating. article uses numerical simulation to study influence length expansion section Dimet acceleration effect Al powder. results show is an essential factor affecting...
Pareto optimization solves a constrained optimization task by reformulating the task as a bi-objective problem. Pareto optimization has been shown quite effective in applications; however, it has little theoretical support. This work theoretically compares Pareto optimization with a penalty approach, which is a common method transforming a constrained optimization into an unconstrained optimiza...
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