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Text feature selection using ant colony optimization
Feature selection and feature extraction are the most important steps in classification
systems. Feature selection is commonly used to reduce dimensionality of datasets with tens …
systems. Feature selection is commonly used to reduce dimensionality of datasets with tens …
Optimization in dynamic environments: a survey on problems, methods and measures
This paper provides a survey of the research done on optimization in dynamic environments
over the past decade. We show an analysis of the most commonly used problems, methods …
over the past decade. We show an analysis of the most commonly used problems, methods …
[PDF][PDF] Feature selection for intrusion detection system using ant colony optimization.
Intrusion detection is a major research problem in network security. Due to the nonlinear
nature of the intrusion attempts, unpredictable behavior of the network traffic and the large …
nature of the intrusion attempts, unpredictable behavior of the network traffic and the large …
A multi-objective dynamic vehicle routing problem with fuzzy time windows: Model, solution and application
In this paper, a multi-objective dynamic vehicle routing problem with fuzzy time windows
(DVRPFTW) is presented. In this problem, unlike most of the work where all the data are …
(DVRPFTW) is presented. In this problem, unlike most of the work where all the data are …
Handling dynamic capacitated vehicle routing problems based on adaptive genetic algorithm with elastic strategy
J Li, R Liu, R Wang - Swarm and Evolutionary Computation, 2024 - Elsevier
With the development of e-commerce platforms, the logistics industry is also booming. The
transportation process is at the core of the logistics industry, which influences the timeliness …
transportation process is at the core of the logistics industry, which influences the timeliness …
A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests
Combinatorial optimization problems are usually modeled in a static fashion. In this kind of
problems, all data are known in advance, ie before the optimization process has started …
problems, all data are known in advance, ie before the optimization process has started …
Feature subset selection using ant colony optimization
A Al-Ani - International journal of computational intelligence, 2005 - opus.lib.uts.edu.au
Feature selection is an important step in many pattern classification problems. It is applied to
select a subset of features, from a much larger set, such that the selected subset is sufficient …
select a subset of features, from a much larger set, such that the selected subset is sufficient …
Dynamic vehicle routing using genetic algorithms
Many difficult combinatorial optimization problems have been modeled as static problems.
However, in practice, many problems are dynamic and changing, while some decisions …
However, in practice, many problems are dynamic and changing, while some decisions …
[ספר][B] Handbook of bioinspired algorithms and applications
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …
the development of solutions to problems that arise in diverse problem domains. It provides …
Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution
Context Vehicle routing problem (VRP) is one of the many difficult issues that have no
perfect solutions yet. Many researchers over the last few decades have established …
perfect solutions yet. Many researchers over the last few decades have established …