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On the Use of Meta-Heuristic Algorithms for Automated Test Suite Generation in Software Testing
There exists a dire need to automate the process of test suite generation to get the most optimal results as testing accounts for more than 40% of total cost. A solution consists of using meta-heuristic algorithms which ...
A hybrid evolutionary algorithm based on adaptive mutation and crossover for collaborative learning team formation in higher education
(Springer, 2017-10)
In this paper, we address a collaborative learning team formation problem in higher education environments. This problem considers a grouping criterion successfully evaluated in a wide variety of higher education courses ...
A Randomized O(log N) -competitive Algorithm For The Online Connected Facility Location Problem
(SpringerNew York, 2016)
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem
(Springer, 2014-09)
In this paper, we address a project scheduling problem. This problem considers a priority optimization objective for project managers. This objective implies assigning the most effective set of human resources to each ...
DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
(Elsevier Science, 2018-01)
Large-scale graphs have become ubiquitous in social media. Computer-based recommendations in these huge graphs pose challenges in terms of algorithm design and resource usage efficiency when processing recommendations in ...
Algorithms of the Intelligent Web
(Iberoamerican Science & Technology Education Consortium, 2010-04)
“Algorithms of the Intelligent Web” is a timely and inst ructive book that brings together techniques for the rapidly evolving field of intelligent web applications. It covers problems such as crawling, indexing, searching, ...
Performance analysis of six meta-heuristic algorithms over automated test suite generation for path coverage-based optimization
There exists a direct need to automate the process of test suite generation to get the most optimal results as testing accounts for more than 40% of total cost. One method to solve this problem is the use of meta-heuristic ...
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling
(Springer, 2015-09)
In this paper, we address a project scheduling problem that considers a priority optimization objective for project managers. This objective involves assigning the most effective set of human resources to each project ...
Comparison of bioinspired algorithms applied to the timetabling problem
(Springer Science and Business Media Deutschland GmbH, 2021-01-01)
The problem of timetabling events is present in various organizations such as schools, hospitals, transportation centers. The purpose of timetabling activities at a university is to ensure that all students attend their ...
Latent residual analysis in binary regression with skewed link
(BRAZILIAN STATISTICAL ASSOCIATIONSAO PAULO, 2012)
Model diagnostics is an integral part of model determination and an important part of the model diagnostics is residual analysis. We adapt and implement residuals considered in the literature for the probit, logistic and ...