Constrained optimization
AN ADAPTIVE CONSTRAINT HANDLING TECHNIQUE FOR PARTICLE SWARM IN CONSTRAINED OPTIMIZATION PROBLEMS
... solving constrained optimization problems, which are common in real world ...swarm optimization (PSO) technique to solve constrained optimization ...
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Mixed-Integer Constrained Optimization Based on Memetic Algorithm
... mixed-integer optimization problems are often coupled with nonlinear constraints so that they are more intractable because the feasible solution space is greatly suppressed by the ...mixed-integer ...
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Smoothed Lower Order Penalty Function for Constrained Optimization Problems
... Based on the lower order penalty function, this paper introduces a smoothing lower order penalty function method which differs from the smoothing penalty function methods in [12], [13], [15], and proposes a corresponding ...
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NONLINEAR CONSTRAINED OPTIMIZATION WITH FLEXIBLE TOLERANCE METHOD: IMPROVEMENT AND APPLICATION IN SYSTEMS SYNTHESIS OF MASS INTEGRATION
... The flexible tolerance method with scaling (FTMS) and hybridized with the stochastic method PSO, FTMS-PSO, presented some advantages applied to solution of the nonlinear op- timization problems. The relative advantages ...
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Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
... The TLBO algorithm has never claimed that it is the ‘best’ algorithm among all the optimization algorithms available in the literature. In fact, there may not be any such ‘best’ algorithm existing! The TLBO ...
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Comput. Appl. Math. vol.31 número2
... Abstract. A new trust-region SQP method for equality constrained optimization is considered. This method avoids using a penalty function or a filter, and yet can be globally convergent to first-order ...
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A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty
... Because of each constraint handling methods may Only suitable for a certain class of optimization problems. This paper presents a method KS-GPGA merging KS aggregate constraint function and grouping penalty method ...
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On the Eigenvalues Distribution of Preconditioned Block Two-by-two Matrix
... I N this paper, our focus is directed at the spectral property of the block 2 × 2 linear systems, which frequently arise from saddle point problems and PDE-constrained optimization problems. Based on the ...
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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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Constrained and Unconstrained Optimization Formulations for Structural Elements in Unilateral Contact with an Elastic Foundation
... In this work, two numerical methodologies are proposed for the solution of unilateral contact prob- lems between a structural member beam or arch and an elastic foundation. In the first approach, the finite element ...
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SOLVING BIPOLAR MAX-TP EQUATION CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
... equation constrained multi- objective optimization problem (2), we face the challenge of solving the bipolar max- T p equation constrained optimization problems (3), (4), (6) or ...equation ...
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Optimization Based Approach for Constrained Optimal Servo Control of Integrating Process Using Industrial PI Controller
... the constrained optimization and then the PI parameters are found from the analysis of the global optimal ...the constrained optimal servo control of the integrating ...
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art alfalmeidaA Constrained Factor Decomposition With
... formance optimization at the ...The optimization of the proposed precoder structure from these methods is an interesting research topic to be addressed in a future ...
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Constrained KP models as integrable matrix hierarchies
... d(M1K11) algebra. Section IV examines the Zakharov–Shabat equation for the problem and provides the construction of the recurrence operator. In Section V the second bracket of the cKP K11,M hierarchy is obtained as a ...
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Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network
... The algorithms have been developed in MATLAB environment to calculate the optimization problem and also to achieve the required objective function. Algorithms have been performed on Core i7, 1.73GHz PC. Results ...
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Ant colony optimization techniques for the hamiltonian p-median problem
... Location-Routing problems involve locating a number of facilities among can- didate sites and establishing delivery routes to a set of users in such a way that the total system cost is minimized. A special case of these ...
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On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques
... swarm optimization algorithm introduced by them exploits basic features of continuous ...particle optimization algorithm is one of the best performing algorithms together with the GA and FST-Root algorithms ...
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Constrained Microaggregation: Adding Constraints for Data Editing
... In our opinion, microaggregation is specially suited when data has to satisfy constraints. The fact that microaggregation has to be computed for sets of variables, permits us to divide t[r] ...
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Comparative study of Fault Tolerance techniques
... budget constrained (DBC) scheduling algorithms with four different optimization strategies [12,13]—cost optimization, cost-time optimization, time optimization, and conservative-time ...
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Análise de carteiras em tempo discreto
... Keywords: portfolio selection, portfolio optimization, large-scale optimization, tensor product, approximation of the multivariate probability density function, finite m[r] ...
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