Results 71 to 80 of about 679,367 (185)

ADVANCE OPTIMIZATION OF ECONOMIC EMISSION DISPATCH BY PARTICLE SWARM OPTIMIZATION (PSO) USING CUBIC CRITERION FUNCTIONS AND VARIOUS PRICE PENALTY FACTORS

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2014
ADVANCE OPTIMIZATION OF ECONOMIC EMISSION DISPATCH BY PARTICLE SWARM OPTIMIZATION (PSO) USING CUBIC CRITERION FUNCTIONS AND VARIOUS PRICE PENALTY FACTORS a Joko Pitono, bAdi Soepriyanto, cMauridhi Hery Purnomo aDepartment of Electrical Engineering ...
Joko Pitono, Adi Soepriyanto, Mauridhi Hery Purnomo   +2 more
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Efficient multi-sensor path scheduling for cooperative target tracking

The Journal of Engineering, 2019
This study deals with path scheduling problem of cooperative target tracking by multiple sensors with bearings only measurements. First, the authors derive a closed-form expression of the determinant (D-optimality criterion) of the Fisher information ...
Lingtong Meng, Wei Yi, Tao Zhou
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Sequential Bound Constrained Minimization Method for Solving Complex Process System Optimization Problems

Journal of Applied Science and Engineering
Steady-state optimization of complex process systems in engineering practice is a typical class of large-scale optimization problems. In this paper, we propose a new method, Sequential Bound Constrained Minimization (SBCM) method, for solving such ...
Xiang Li, Chunyan Li
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Dynamic programming and penalty functions

Journal of Mathematical Analysis and Applications, 1990
The authors modify the augmentable method for the solution of optimization problems with constraints by using penalty functions in association with the dynamic programming technique and demonstrate that the dynamic programming technique can play an effective role in the method of penalty functions. They then manipulate optimization problems with one or
Wang, Chung-lie, Xing, An-qing
openaire   +2 more sources

A Game Theoretical Approach to Sharing Penalties and Rewards in Projects [PDF]

This paper analyzes situations in which a project consisting of several activities is not realized according to plan. If the project is expedited, a reward arises. Analogously, a penalty arises if the project is delayed.
Estevez Fernandez, M.A.
core   +1 more source

Kinetic parameters estimation of protease production using penalty function method with hybrid genetic algorithm and particle swarm optimization

Biotechnology & Biotechnological Equipment, 2016
Almost all optimization techniques are restricted by the problems' dimensions and large search spaces. This research focuses on a special hybrid method combining two meta-heuristic techniques, genetic algorithms (GA) and particle swarm optimization (PSO)
Mahsa Ghovvati, Gholam Khayati, Hossein Attar, Ali Vaziri   +3 more
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Tax enforcement problems. [PDF]

We study an income tax enforcement problem using a principal-agent model where the government sets the tax and inspection functions. These are announced to the agents and there is no commitment problem.
Marhuenda, Francisco, Ortuño, Ignacio
core  

Automation of conceptual design and modification of aircraft-type unmanned aerial vehicles using multidisciplinary optimization and evolutionary algorithms. Part 2: results and analysis

Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение
An example of practical application of the methodology of multidisciplinary optimization of the concept parameters of aircraft-type flight vehicles is considered in the form of solving the problem of modifying two existing aircraft with characteristics ...
V. A. Komarov, O. E. Lukyanov, V. H. Hoang, E. I. Kurkin, J. G. Quijada Pioquinto   +4 more
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Semiparametric penalty function method in partially linear model selection [PDF]

Model selection in nonparametric and semiparametric regression is of both theoretical and practical interest. Gao and Tong (2004) proposed a semiparametric leave–more–out cross–validation selection procedure for the choice of both the parametric and ...
Dong, Chaohua, Gao, Jiti, Tong, Howell
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Asymptotic behavior of the Gerber–Shiu discounted penalty function in the Erlang(2) risk process with subexponential claims

Nonlinear Analysis, 2011
We investigate the asymptotic behavior of the Gerber–Shiu discounted penalty function ɸ(u) = E(e−δT 1{T
Jelena Kočetova, Jonas Šiaulys
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