نتایج جستجو برای: fitness function
تعداد نتایج: 1255937 فیلتر نتایج به سال:
Process discovery techniques automatically extract the real workflow of a process by analyzing the events that are collected and stored in log files. Although in the last years several process discovery algorithms have been presented, none of them guarantees to find complete, precise and simple models for all the given logs. In this paper we address the problem of process discovery through a ge...
We define co-solvability as an ability of a solution to solve a pair of fitness cases (tests). The fitness function based on this concept grants rewards to solutions depending on their performance on all pairs of tests, in a way analogous to implicit fitness sharing. We prove that cosolvability fitness function is synergetic by definition and imposes selection pressure which is qualitatively di...
Introduction: Academic achievement is one of the main objectives of educational programs and the most important concern of education administrators and families. The education administrators' emphasis on courses other than physical education as a means for the students to get better overall scores results in a general neglect toward physical education or its elimination from curricula due to re...
We present a specific varying fitness function technique in genetic algorithm (GA) constrained optimization. This technique incorporates the problem's constraints into the fitness function in a dynamic way. It consists of forming a fitness function with varying penalty terms. The resulting varying fitness function facilitates the GA search. The performance of the technique is tested on two opti...
This paper evaluates the usage of analytical programming and different fitness functions for software effort estimation. Analytical programming and differential evolution generate regression functions. These functions are evaluated by the fitness function which is part of differential evolution. The differential evolution requires a proper fitness function for effective optimization. The proble...
Surrogate models of fitness have been presented as a way of reducing the number of fitness evaluations required by evolutionary algorithms. This is of particular interest with expensive fitness functions where the time taken for building the model is outweighed by the saving of using fewer function evaluations. In this paper, we show how a Markov network model can be used as a surrogate fitness...
In a recent paper [Phys. Rev. E 69, 046121 (2004)]], we used the Suzuki-Trottere formalism to study a quasispecies biological evolution model in a parallel mutation-selection scheme with a single-peak fitness function and a point mutation. In the present paper, we extend such a study to evolution models with more general fitness functions or multiple mutations in the parallel mutation-selection...
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