Results 231 to 240 of about 149,185 (266)
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Interval Optimization Based on Hybrid Optimization Algorithm
2020By combining the genetic algorithm (GA) with the artificial neural network (ANN), this chapter establish two hybrid optimization algorithms to solve the nested optimization problem after transformation, based on which two efficient nonlinear interval optimization methods are developed.
Chao Jiang, Xu Han, Huichao Xie
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Optimal control strategy for hybrid automata
ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005., 2005The research described in this paper addresses the problem of automatic execution of robotic tasks, considering uncertain environment. The focus on the paper is on the mathematical methodology used to address this problem, which belongs to the family of optimum systems control methods.
BOTTURI, Debora +2 more
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Parallel Hybrid Optimization Methods
1988Given the unconstrained minimization problem $$f(x)=\min!s.t.x\in{{R}^{n}}$$ (1) and the nonlinear programming problem $$f(x) = \min !s.t.x \in {\text{G}}$$ (2) where \(G = \left\{ {x,:{g_{\text{j}}}(x) \leqslant 0{\text{j}} = 1,...,\left. m \right\}.} \right.\)
O. Burdakov, C. Richter
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Hybrid Extremal Optimization and Glowworm Swarm Optimization
2012Glowworm Swarm Optimization algorithm is applied for the simultaneous capture of multiple optima of multimodal functions. In this paper, we have attempted to create a Hybrid Extremal Glowworm Swarm Optimization (HEGSO) algorithm. Aiming at the glowworm swarm optimization algorithm is easy to fall into local optima, having low accuracy, and to be unable
Niusha Ghandehari +2 more
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Hybrid Evolutionary Optimization Algorithms
2014The novel industrial manufacturing sector inevitably faces problems of uncertainty in various aspects such as raw material availability, human resource availability, processing capability and constraints and limitations imposed by the marketing department. These problems have to be solved by a methodology which takes care of such unexpected information.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Hybrid techniques applied to optimization problems
Proceedings of the May 1-3, 1962, spring joint computer conference on - AIEE-IRE '62 (Spring), 1962A function dependent on the solution of a set of dif ferential equations containing adjustable parameters, can be minimized by systematic search procedures in parameter space. Such procedures can be imple mented by a hybrid system consisting of a general purpose analog computer and a digital expansion providing parallel logic building blocks.
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Hybrid vehicle design optimization
8th Symposium on Multidisciplinary Analysis and Optimization, 2000J. Garcelon, K. Wipke, Tony Markel
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