[PDF] Top 20 Mixed-Integer Constrained Optimization Based on Memetic Algorithm

... mechanisms. Memetic Algorithms (MAs) are hybrid EAs that combine genetic operators with local search ...solutions. On the other hand, mixed-integer hybrid differential evolution (MIHDE), as an ... See full document

... rely on a branch and bound ...Reduce Optimization Naviga- tor) solver ...genetic algorithm [15], ant colony [22], pattern search algorithms [1], multistart Hooke and Jeeves algorithm [12], and ... See full document

... nonlinear mixed integer optimization problem used in the scheduling operation of power system generating units subjected to demand and reserve requirement constraints for achieving minimum operating ... See full document

... portfolio optimization has always been a key concern for ...portfolio optimization problem with floor, ceiling, and cardinality ...a mixed integer quadratic programming where traditional ... See full document

... Algorithm 3 runs once again to obtain the utopic individual. However, in step 1, instead of choosing at random an individual from the population, the best individual is initialized with one of the lexicographic. ... See full document

... Genetic Algorithm is an optimization and search technique based on selection mechanism and natural evolution, following Darwin’s theory of species’ evolution, which explains the history of ... See full document

... topology optimization of structures into two spatial dimensions subject to multiple ...examples on the introduction of the book by Novotny and Sokołowski (2013) and also the paper by Amstutz et ... See full document

... Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing ...multi-objective optimization problem with competing and noncommensurable ...clustering algorithm to ... See full document

... new algorithm proposed in this paper is based on the knowledge of users' location which is non - deterministic thus resulting a significant improvement in the reception of the desired signal from the ... See full document

... Check-pointing is relatively more popular fault tolerant approach used in distributed systems, where the state of the application is stored periodically on reliable and stable storage, normally a hard disk etc. In ... See full document

... accepts Optimization Toolbox functions fmincon, fminunc, lsqnonlin and lsqcurvefit as local solvers, but none of these are prepared to handle integer ...‘MS+m-HJ-f’ algorithm, which was 21 (= K max + ... See full document

... puzzles. On the contrary our mixed integer linear programming (MILP) model, using the Cplex solver, solves easy puzzles in few seconds and hard puzzles in few ... See full document

... stochastic optimization methods based on the principles of natural biological evolution (Han & Kim, 2002) and they are commonly applied to solve real-world optimization problems (Deb et ... See full document

... In the table below, we present the results obtained by the Benders algorithm with and without the use of extra cuts. The goal of the study was not to obtain the most effective way to solve these instances (in ... See full document

... hybrid algorithm based on Genetic Algorithm and Particle Swarm Optimization to overcome this clustering problem by finding the number of clusters, the cluster heads and the clusters ... See full document

... FCCP based security information optimization algorithm to achieve improved LPID performance in radar network systems without any prior knowledge of noncooperative intercept receiver, whose purpose is ... See full document

... technique based on Butterfly-Particle Swarm Optimization (BPSO) is ...iterative algorithm utilized for finding optimal solution from a set of possible ...other optimization techniques ... See full document

... like optimization problems, machine learning, and pattern recog- ...techniques based on chaos are similar to genetic algorithms (GA), but it uses the chaos ...techniques based on the ... See full document

... the only way a document can be questioned and retrieved. There are several implementations of Analyzer, most of them directly provided by Lucene project; furthermore it would take not too much effort if it is demanded to ... See full document

... iterative algorithm known as Simple Support Vector Machine algorithm (SSVM) [10] to find the support vectors for building the ...Genetic Algorithm to select an optimal feature subset which maximizes ... See full document