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In this paper, we propose a portfolio selection method based on a set of technical trading rules, which are optimized by a genetic algorithm. The aim of the research was to check if it is possible to obtain a set of trading rules deriving from technical indicators, which could be used to create a portfolio able to outperform standard portfolio models based upon Modern Portfolio Theory. On the contrary...
In the paper an adapted version of the differential evolution algorithm has been created to solve a multi-objective optimization problem. Multi-objective Differential Evolution Algorithm using vector differences for perturbing the vector population with self adaptation is introduced. Through the combination of mutation strategies and self adaptation of crossover and differentiation constants the proposed...
We propose a meta heuristic based on an evolutionary approach for a capacitated vehicle routing problem. The modifications concern a selection process and two new heuristics for crossover operators. The numerical results demonstrate the effectiveness of an adaptive selection evolutionary algorithm on the benchmark test problems. The main advantage is the possibility of arranging the proposed selection...
Increasing attention is being recently devoted to various problems in the topological design of communication networks. In the paper we propose to solve a bi-criteria network topology design problem for considering a message delay and global cost as an objective functions vector under the connectivity constraint. An approach based on the bi-criteria genetic algorithm VEGA is developed for the network...
The fault-tolerant topological design for a computer network leads one to characterize the way in which the nodes are linked to each other with the known connectivity parameter and to the capacity of links, which represent the means of transmission parameters between the vertices. The design problem is to find a suitable fault tolerant network topology at a minimum communication cost under the constraint...
Większość algorytmów optymalizacji rozkrojów to procedury iteracyjne. Celem każdej iteracji jest budowa nowego rysunku rozkroju. Jest to odrębne zadanie optymalizacji. Celem, pracy jest analiza algorytmu opartego na metodzie częsciowego przeglądu, a w szczególności wchodzących w jego skład procedur relaksacji. W końcowej części pracy zamieszczono wyniki testów obliczenioweych, których celem była praktyczna...
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