constraint optimization
Multi-Objective Distributed Constraint Optimization using Semi-Rings
... Distributed Constraint Optimization ...Distributed Constraint Satisfaction/Optimization Problem ...support optimization problems where the objective is to maximize ...
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Constraint Optimization For Nurse Rostering Using Particle Swarm Optimization With Global Optimum Test Function
... LIST OF ABBREVIATIONS Co-PSO- Constraint Optimization for Nurse Rostering using Particle Swarm Optimization with Global Optimum Test Function PSO- Particle swarm optimization AI- Artific[r] ...
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Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving
... Stochastic Constraint Optimization Problems (SCOPs): problems that have both a stochastic and a constraint optimization com- ...or Constraint Programming solvers in the second ...
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Constraint Optimization for Highly Constrained Logistic Problems
... The above idea is the foundation of a popular search algorithm for constraint optimization, namely branch and bound. Branch and bound estimates the completion cost of a partial solution to prune potential ...
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Cologne: A Declarative Distributed Constraint Optimization Platform
... declarative optimization platform that enables constraint optimization problems (COPs) to be declar- atively specified and incrementally executed in distributed ...
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Start up Cost constraint Optimization using L...
... Electricity companies typically possess numerous units and they need to commit units because electricity cannot be stored in a large-scale system and demand is a random variable process fluctuating with the time of the ...
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WSD as a Distributed Constraint Optimization Problem
... This work models Word Sense Disam- biguation (WSD) problem as a Dis- tributed Constraint Optimization Problem (DCOP). To model WSD as a DCOP, we view information from various knowl- edge sources as ...
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Partition-based clustering using constraint optimization
... Furthermore, any of the measures introduced in the previous section on opti- mization criteria can also be constrained to take a value within a certain interval. Other variants and combinations of these constraints can ...
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GA Based Image Restoration by Isophote Constraint Optimization
... We propose an efficient technique for image restoration based on a genetic algorithm (GA) with an isophote constraint. In our technique, the image restoration problem is modeled as an optimization problem ...
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Optimal Riser Design for Sand Casting of Drop Ball using Constraint Optimization Technique
... On comparing the volume of riser obtained by the industry with the constrained optimization technique used in this project we found that 16.67% reduction in the volume of riser was obtained thereby increasing ...
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MU MIMO Transmitter Power Constraint Optimization Using Genetic Algorithm
... inspired optimization methods, genetic algorithms (GA) has been one of the best globally proved search technique to deal with different engineering and optimization ...
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Constraint reasoning with local search for continuous optimization
... From the other several algorithms available for non-linear constraint optimization problems, there are also the sequential quadratic programming; introduced in late 1970’s, described in [5]. It can be used ...
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An Optimization Approach for Integrating Different Roof Functions with Environmental Impacts Constraint: "A Hybrid Framework".
... this constraint refers to is the emission reduction level as an environmental ...This constraint indicates that the sum of avoided gas emissions by using different roof types and functions such as green ...
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Title: A Constraint Analysis Based Approach for QoS Optimization using Network Coverage
... an optimization to the network architecture is obtained based on the localization and coverage ...communication optimization model based on three main stages shown in figure ...
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Optimization of Multi objective Economic Load Dispatch with Emission Constraint Using New PSO
... To assess the efficiency of the proposed PSO and CPSO approaches in this paper, considered a case of 6 thermal units for the demand of 500MW, ELD problems with environmental emission. The CPSO routine in this article is ...
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A Mathematical Optimization Model for Solving Minimum Ordering Problem with Constraint Analysis and some Generalizations
... This optimization model can find the exact solution to the problem, and having a linear structure, it can be well implemented whenever desired by softwares such as matlab, lingo, and ...
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Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm
... If the result does not satisfy the constraint, reject it. Then we need to use the third step to generate a new chromosome, if the chromosome is feasible, we can accept it as a member of population, then we use the ...
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CONVOLUTION CODE ENCODER DESIGN USING PARTICLE SWARM OPTIMIZATION FOR CONSTRAINT LENGTH 6
... swarm optimization technique provides an evolutionary based ...parameter optimization in continuous, multi-dimensional search ...and optimization problem is made by assigning direction vector and ...
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Constraint-Based Synthesis of Linear Antenna Array Using Modified Invasive Weed Optimization
... Weed Optimization (IWO) algorithm is applied to optimize the antenna element positions for suppressing peak side lobe level (PSLL) and for achieving nulls in specified ...a constraint-based static penalty ...
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Magnitude Constraint Minimum Variance Beamformer with Conjugate Symmetric Constraint and Norm Constraint
... magnitude constraint with lower bound is non-convex, and the beamforming problem is not a convex optimization problem and cannot be solved by the well- established conventional convex optimization ...
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