[PDF] Top 20 Smoothed Lower Order Penalty Function for Constrained Optimization Problems
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Smoothed Lower Order Penalty Function for Constrained Optimization Problems
... the lower order penalty function for constrained optimization prob- ...the smoothed penalty problem is an approximate optimal solution of the original ...the ... See full document
6
AN ADAPTIVE CONSTRAINT HANDLING TECHNIQUE FOR PARTICLE SWARM IN CONSTRAINED OPTIMIZATION PROBLEMS
... in order to be ...Static penalty depends on the definition of an external factor to be added to or multiplied by the objective ...Dynamic penalty methods, in general, have penalty coefficients ... See full document
18
A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty
... into constrained optimization problems. Most of optimization algorithms are efficient for unconstrained optimization problems or just with simple ...design problems may ... See full document
7
Solving Constrained Multilocal Optimization Problems with Parallel Stretched Simulated Annealing
... Abstract. Constrained multilocal programming optimization problems may be solved by solving a sequence of unconstrained ...unconstrained problems may be solved using techniques like the ... See full document
15
Development of a serial order in speech constrained by articulatory coordination.
... serial order (Figures 1C-iii and ...serial order in articulations in the previous and present ...Serial order in articulation of consonants in consonant-vowel-consonant(-vowel) ... See full document
10
Hybrid Genetic Algorithms: A Review
... Hacker et al. [28] proposed an approach that switches between global genetic and local search, based on the local topology of the search space. The basic idea of this approach ignores the role of local search in ... See full document
14
Comput. Appl. Math. vol.30 número1
... less function evaluations in 52% of the problems while TRB-Powell does it in 55% of problems and the last one has the best performance for τ ∈ ... See full document
26
A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
... It is possible to consider more complex moves by applying a set of independent basic moves. Two basic moves are independent if the execution of the first one does not affect the second one and vice versa. The execution ... See full document
7
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] ... See full document
154
Retrieving Targeted Results from a Static File Repository using a Keyword matching Mechanism relying on a Cluster-based Algorithm
... An optimization model is proposed in order to reduce the time consuming component in regards to the minimization of differences in the quality of the documents resulted in the automatic search using a k ... See full document
10
A new version of necessary conditions for optimal control problems with differential algebraic equations
... 6. A Companion Result. It is clear from our findings that we treat (y, u) as the control partioned into components where at most one of the components, u, is subject to set control constraints. Clearly this approach is ... See full document
8
A new IPSO-SA approach for cardinality constrained portfolio optimization
... The combination of global exploration and local exploitation features during the optimization process is the key success of PSO algorithm. However, the main pitfall of the standard PSO is that it may be trapped ... See full document
14
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 ... See full document
9
Drone Route Optimization using Constrained Based Local Search
... cost function that was based in the distance and the turns made by the drone throughout the ...cost function into a Traveling Sales- man Problem (TSP) Heuristic, the Lin-Kerninghan Heuristic, which ... See full document
80
Central limit theorems for risk averse optimization problems
... of constrained and unconstrained risk-neutral ...for problems of type (1) and (2) when R is an ...for problems of type (1) and (2) when R is a law invariant coherent risk measure, using results ... See full document
46
Using Interval Graphs in an Order Processing Optimization Problem
... In this paper we address a problem in production plan- ning, where the objective is to rapidly fulfill the clients’ orders. Each order may require several different products, but the manufacturer can only produce ... See full document
7
Computing optimal control with a quasilinear parabolic partial differential equation
... control problems for partial differential equations are currently of much ...control problems [1], [2] and [18]. These problems have dealt with the processes of hydro- and gas dynamics, heat physics, ... See full document
15
Applications of heuristics and metaheuristics in power systems
... complex problems, and classical opti- mization techniques include the use of optimization tech- niques such as linear programming, nonlinear program- ming, mixed integer linear, and mixed integer ... See full document
3
Comput. Appl. Math. vol.31 número2
... We now present the main theorem on the basis of all the results obtained above. Theorem 1. Suppose that first order critical points and infeasible stationary points never occur and that (3.19) is avoided. Then ... See full document
26
Braz. J. Chem. Eng. vol.31 número1
... Abstract - Based on a dynamical model of the grinding process in closed circuit mills, efficient efforts have been made to optimize PID controllers of cement milling. The process simulation is combined with an ... See full document
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