optimization problems
Meta Heuristics approach for a Class of supply chain optimization problems D.Sabareswari, N.Sathya, K.Sharmila Abstract PDF IJIRMET160207006
... Algorithms with stochastic components were often referred to as heuristic in the past, though the recent literature tends to refer to them as metaheuristics. We will follow Glover's convention and call all modern ...
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Optimization problems for set functions
... The considerations are divided into four parts. The first part consists of general re- marks on set functions and optimization problems for these functions. Sections 3 and 4 have an auxiliary character. They ...
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Metaheuristics and combinatorial optimization problems
... of problems. Problems which either can not be formulated in exact and accurate mathematical forms or may contain noisy data are excellent candidates for a ...GA. Problems that take too much ...
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Variational inequalities and optimization problems
... of problems in mathematical programming, including systems of nonlinear equations, optimization problems and fixed point ...practical problems re- lated to ”equilibrium”, see ...
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METAHEURISTICS: A SOLUTION FROM DATABASE OPTIMIZATION PROBLEMS TO BIG DATA OPTIMIZATION PROBLEMS
... complex optimization problems where classical heuristics and other optimization methods failed to be effective and ...combinatorial problems as well as continuous ...Combinatorial ...
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Optimization Problems in the Presence of Uncertainty
... We begin in Section 2.2 by deriving the formula for the reflection coefficients that will be utilized throughout our work. In Sections 2.3 and 2.4 we provide a mathematically precise formulation of such a class of two ...
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Optimization Problems And Genetic Algorithms
... The optimization process involves finding a single or a series of optimal solutions from among a very large number of ...of optimization problems (Dhar & Stein, ...
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Efficiency of subgradient method in solving nonsmootth optimization problems
... I would like to thank all those who have contributed in so many ways to the completion of this report. Firstly I acknowledge my great supervisor, PM DR. Rohanin binti Ahmad who gave me the opportunity to do this ...
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Reactive Search Optimization; Application to Multiobjective Optimization Problems
... intelligent optimization and Reactive Search ...search optimization, learning and optimization has been deeply interconnected through interaction with the decision maker via the visualization ...
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Cultural Algorithm based on Decomposition to solve Optimization Problems
... 13 problems in static rather than a dynamic way. After working in this topic, we realized the Cultural Algorithms, shows many potentials to solve complex optimization problems, and they also resemble ...
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A General Iterative Approach to Variational Inequality Problems and Optimization Problems
... In this paper, motivated by the above-mentioned results, we introduce a new general composite iterative scheme for finding a common point of the set of solutions of the variational inequality problem 1.1 for an ...
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Optimization problems in correlated networks
... min-cut problems are key in achieving high-performance and robust communication ...Those problems have often been studied in deterministic and uncorrelated networks both in their original formu- lations as ...
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Some Iterative Methods for Solving Equilibrium Problems and Optimization Problems
... We introduce a new iterative scheme for finding a common element of the set of solutions of the equilibrium problems, the set of solutions of variational inequality for a relaxed cocoercive mapping, and the set of ...
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A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... and/or reactive powers in the grid. The pro- posed control is carried out based on a secure communication architecture called incident command system (ICS). This approach relies on extracting information from active and ...
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Stability issues of finite precision controller structures for sampled data systems
... constrained optimization is more di cult to solve, compared with unconstrained ...similar optimization problems were solved with some success by using a conventional direct search algorithm and ...
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The well posedness for a system of generalized quasi variational inclusion problems
... scalar optimization problems with functional constraints [], vector optimization problems [], variational inequality problems [], gen- eralized mixed variational inequality ...
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The relationship between multi-objective robustness concepts and set-valued optimization
... set-valued optimization and uncertain multi- objective ...optimization problems. It seems possible to extend this class of problems to a more general one, but this is future work and of ...
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Magnetotactic Bacteria Algorithm for Function Optimization
... plicated optimization computation problems in recent ...standard optimization tool in ...Colony Optimization(ACO)[1] and Particle Swarm Optimization(PSO)[2], Immune Algorithm(IA)[3], ...
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Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary
... Weifeng Gao .et al [22] proposed a new iterative based dynamic search process that is very similar to the basic ABC algorithm. In general the actual search process followed by each of the bee concentrates to improve the ...
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Trust-region based methods for unconstrained global optimization
... these problems is a reliable tool in solving optimization ...in optimization that can help to solve an air-crew scheduling problem (Hoffman and Padberg, ...
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