Journal ArticleDOI
New VNP for automatic programming
TLDR
A new local search method for solving automatic programming problem and it is used within recent Variable Neighborhood Programming (VNP) method to adapt well known “elementary tree transformation” in generating neighboring trees (programs) N (T) to the incumbent tree T.About:
This article is published in Electronic Notes in Discrete Mathematics.The article was published on 2017-04-01. It has received 10 citations till now. The article focuses on the topics: Tree (data structure) & Local search (optimization).read more
Citations
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Journal ArticleDOI
A Brief History of Heuristics: from Bounded Rationality to Intractability
Gustavo Silva Semaan,José André de Moura Brito,Igor Machado Coelho,Edelberto Silva,Augusto Cesar Fadel,Luiz Satoru Ochi,Nelson Maculan +6 more
TL;DR: This paper presents a recent and comprehensive literature review on the topic of heuristics, and presents historical data that emphasizing the growth of this concept in several research fields, since the 1950s, and the authors' perspective on future directions.
Book ChapterDOI
Variable Neighborhood Programming as a Tool of Machine Learning
TL;DR: In this paper, the Variable Neighborhood Programming (VNP) algorithm was introduced for solving the symbolic regression problem (SRP) and tested and compared on usual test instances from the literature.
Book Chapter
On Effective and Inexpensive Local Search Techniques in Genetic Programming
TL;DR: Chameleon, which tunes internal GP nodes and addresses cost concerns by employing a number of strategies to make its LS both effective and inexpensive, is a successful system.
Variable neighborhood programming for symbolic regression
TL;DR: A new neighborhood structure is proposed that adapts the classical “elementary tree transformation” (ETT) into this specific AP-tree for solving AP problems, and shows clearly advantages of the new proposed BVNP method, in terms of speed of convergence and computational stability.
Proceedings ArticleDOI
Variable Neighborhood Programming For Evolving Discriminent Functions With Dynamic Thresholds
Souhir Elleuch,Bassem Jarboui +1 more
TL;DR: A new local search is introduced which aims to find dynamically the more adequate thresholds for each classifier, and a multidimensional schema is proposed to ensure the simultaneous optimization of the discriminant function, the class order, and the corresponding boundaries.
References
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Book
Genetic Programming: On the Programming of Computers by Means of Natural Selection
TL;DR: This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.
Journal ArticleDOI
Time Series Analysis: Forecasting and Control
TL;DR: Time Series Analysis and Forecasting: principles and practice as mentioned in this paper The Oxford Handbook of Quantitative Methods, Vol. 3, No. 2: Statistical AnalysisTime-Series ForecastingPractical Time-Series AnalysisApplied Bayesian Forecasting and Time Series AnalysisSAS for Forecasting Time SeriesApplied Time Series analysisTime Series analysisElements of Nonlinear Time Series analyses and forecastingTime series analysis and forecasting by Example.
Journal ArticleDOI
Oscillation and Chaos in Physiological Control Systems
Michael C. Mackey,Leon Glass +1 more
TL;DR: First-order nonlinear differential-delay equations describing physiological control systems displaying a broad diversity of dynamical behavior including limit cycle oscillations, with a variety of wave forms, and apparently aperiodic or "chaotic" solutions are studied.
Journal ArticleDOI
Variable neighborhood search
Nenad Mladenović,Pierre Hansen +1 more
TL;DR: This chapter presents the basic schemes of VNS and some of its extensions, and presents five families of applications in which VNS has proven to be very successful.
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A distributed processing algorithm for solving integer programs using a cluster of workstations
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