نتایج جستجو برای: fitness function

تعداد نتایج: 1255937  

Journal: :Inf. Sci. 2015
Borja Vázquez-Barreiros Manuel Mucientes Manuel Lama

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...

2010
Krzysztof Krawiec Pawel Lichocki

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...

Journal: :JAAOS: Global Research and Reviews 2019

ژورنال: ارگونومی 2015
بیژه, ناهید, سعیدی, ملیحه, محمدرحیمی, غلام رسول,

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...

Journal: :IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society 1998
Vassilios Petridis Spiridon A. Kazarlis A. G. Bakirtzis

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...

2015
Tomas Urbanek Zdenka Prokopova Radek Silhavy Veronika Vesela

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...

Journal: :Int. J. Systems Science 2013
Alexander E. I. Brownlee Olivier Regnier-Coudert John A. W. McCall Stewart Massie Stefan Stulajter

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...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2004
David B Saakian Chin-Kun Hu H Khachatryan

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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