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Distribution (mathematics)

Known as: Theory of distributions, Distribution, Test function 
Distributions (or generalized functions) are objects that generalize the classical notion of functions in mathematical analysis. Distributions make… 
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Related topics

Related topics

35 relations
Bernstein–Sato polynomialBounded variationC++11Caccioppoli set

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Particle swarm optimization using dimension selection methods
Highly Cited
2009
Highly Cited
2009
Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization
This paper presents Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization… 
Highly Cited
2008
Highly Cited
2008
End-user Computing: Concepts, Methodologies, Tools and Applications
Paralleling the rapid development of widely distributed information and computing technologies has been an accelerated demand by… 
Highly Cited
2008
Highly Cited
2008
An Evolutionary Algorithm Based on Cloud Model
Based on the outstanding characteristics of the cloud model on the process of transforming a qualitative concept to a set of… 
Highly Cited
2007
Highly Cited
2007
A Microparticle Swarm Optimizer for the Reconstruction of Microwave Images
A novel optimization technique known as the microparticle swarm optimizer (muPSO) is proposed for high-dimensional microwave… 
Highly Cited
2007
Highly Cited
2007
Clonal particle swarm optimization and its applications
Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in… 
Highly Cited
2004
Highly Cited
2004
Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization
Covering the whole set of Pareto-optimal solutions is a desired task of multiobjective optimization methods. Because in general… 
Highly Cited
2004
Highly Cited
2004
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for… 
Highly Cited
2000
Highly Cited
2000
The new model of parallel genetic algorithm in multi-objective optimization problems - divided range multi-objective genetic algorithm
Proposes a divided-range multi-objective genetic algorithm (DRMOGA), which is a model for the parallel processing of genetic… 
1997
1997
Comparison study of pivot methods for global optimization
We compare two implementations of a new algorithm called the pivot method for the location of the global minimum of a multiple… 
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