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Optimization Problem

The necessary and sufficient conditions of the sheaf optimization problem

The necessary and sufficient conditions of the sheaf optimization problem

... Tung, Some properties of sheaf-solutions of sheaf fuzzy control Problems, Electronic Journal of Differential Equations Vol (2006), N.. Phu and T.T.[r] ...

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Using Interval Graphs in an Order Processing Optimization Problem

Using Interval Graphs in an Order Processing Optimization Problem

... Figure 2: Non simultaneous orders can share stack space This means that it is natural to associate the lifetime of a costumers’ order in the solution with intervals of time measured not in minutes or hours but measured ...

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Multiobjective deterministic economic-emission load dispatch optimization problem using firefly algorithm

Multiobjective deterministic economic-emission load dispatch optimization problem using firefly algorithm

... This algorithm (FA) is based on the social (flashing) behavior of fireflies, or lighting bugs [3][11]. It was developed by Dr. Xin-She Yang at Cambridge University in 2007, and it is based on the swarm behavior such as ...

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Query Optimization Architecture for Data Grid Environment

Query Optimization Architecture for Data Grid Environment

... query optimization technique for grid environment is utmost ...programming optimization problem (LPP) is formulated based on the cost ...query optimization technique using the linear ...

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Parallel Guided Local Search and Some Preliminary Experimental Results for Continuous Optimization

Parallel Guided Local Search and Some Preliminary Experimental Results for Continuous Optimization

... Following Voudris [9], each real-valued variable in a continuous optimization problem is represented by a number of bits. Therefore, the flip bit mutation is used as a local search method. The local search ...

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Comput. Appl. Math.  vol.30 número2

Comput. Appl. Math. vol.30 número2

... stochastic optimization problem, decisions are to be made in stages, and the uncertainties can be modeled by means of a scenario tree that can be generated by sampling techniques ...stage problem, in ...

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Comput. Appl. Math.  vol.25 número1

Comput. Appl. Math. vol.25 número1

... the optimization problem with box constraints was solved using the easy computing ...robot problem for a sequence of times t 1 , t 2 , t 3 ...

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Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... Abstract: Problem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing ...routing problem is formulated as ...

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Pesqui. Oper.  vol.32 número2

Pesqui. Oper. vol.32 número2

... single-objective problem can be easily obtained by taking each objective function ...non-linear optimization problems and constraints can be used to solve this single-objective optimization ...

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Braz. J. Chem. Eng.  vol.19 número4

Braz. J. Chem. Eng. vol.19 número4

... dynamical optimization problem is generated whose resolution strategies must be ...algebraic optimization problems (DAOP) cannot be solved by straightforward nonlinear programming (NLP) techniques or ...

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A hybrid approach based on EP and PSO for proficient solving of Unit Commitment Problem

A hybrid approach based on EP and PSO for proficient solving of Unit Commitment Problem

... commitment problem subjected to fuel and emission constraints under deregulated ...Commitment Problem is an optimization problem of the generating units in a power system subjected to various ...

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A Novel MILP Model to Solve Killer Samurai Sudoku Puzzles

A Novel MILP Model to Solve Killer Samurai Sudoku Puzzles

... A mathematical program is a set of inequalities and equalities defined in terms of the model variables, one of them defining the objective variable that must be maximized or minimized. In a linear model all constraints ...

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Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

... Baldwinian learning: The Baldwinian learning allows an individual fitness to be improved by applying a local search, without changing the genotype. In this way it propagates its structure to next generation and thus ...

4

Dynamic Tracking with Zero Variation and Disturbance Rejection Applied to Discrete-Time Systems

Dynamic Tracking with Zero Variation and Disturbance Rejection Applied to Discrete-Time Systems

... rejection optimization problem for discrete-time systems in the linear matrix inequalities framework, such that the optimal solution of the stated control problem is ...the problem is feasible ...

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A Binary particle swarm optimization algorithm for a variant of the maximum coing problem

A Binary particle swarm optimization algorithm for a variant of the maximum coing problem

... Covering Problem (MCP) is a widely studied Combinatorial Optimization problem, with several applications, such as facility location (including health centers, emergency vehicles and commercial bank ...

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Economic Load Dispatch Using Grey Wolf Optimization

Economic Load Dispatch Using Grey Wolf Optimization

... important problem in operation and planning of power ...(ELD) problem is the most significant optimization problem in scheduling the generation of thermal generators in power ...ELD ...

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Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization

Design of Low Noise Microwave Amplifiers Using Particle Swarm Optimization

... multiobjective optimization problem, can be performed with the aid of particle swarm ...swarm optimization in design can lead the microwave circuit simulator writers to use particle swarm ...

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Braz. J. Chem. Eng.  vol.21 número4

Braz. J. Chem. Eng. vol.21 número4

... To solve the optimization problem, the Dynamic Optimisation Code (DAEOPT) which implements the single shooting technique in the software gPROMS, was used. With the software gPROMS it is possible to use ...

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An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

An Improved Differential Evolution Based Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

... complex optimization problems, recent research has identified some deficiencies in GA ...solve optimization problems, when applied to problems consisting of more number of local optima the solutions ...

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Bol. Ciênc. Geod.  vol.20 número4

Bol. Ciênc. Geod. vol.20 número4

... The problem of finding the shortest distance is encountered frequently in the Cartesian- Geodetic coordinate transformation, optimization problem, fitting ellipsoid, image processing, face ...

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