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Random search (RS) is a family of numerical optimization methods that do not require the gradient of the problem to be optimized, and RS can hence be… 
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Related topics

9 relations
Derivative-free optimizationGaussian adaptationList of numerical analysis topicsLocal search (optimization)

Broader (1)

Stochastic optimization

Papers overview

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Review
2015
Review
2015
A Review of Random Search Methods
This chapter provides a brief review of random search methods for simulation optimization. We start by describing the structure… 
Highly Cited
2010
Highly Cited
2010
Solving a comprehensive model for multiobjective project portfolio selection
Highly Cited
2007
Highly Cited
2007
An effective architecture for learning and evolving flexible job-shop schedules
Highly Cited
2006
Highly Cited
2006
Multiobjective control of power plants using particle swarm optimization techniques
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set point in a… 
Highly Cited
2004
Highly Cited
2004
Meta-Lamarckian learning in memetic algorithms
Over the last decade, memetic algorithms (MAs) have relied on the use of a variety of different methods as the local improvement… 
Highly Cited
2004
Highly Cited
2004
Population set-based global optimization algorithms: some modifications and numerical studies
Highly Cited
2002
Highly Cited
2002
Can Heterogeneity Make Gnutella Scalable?
Even though recent research has identified many different uses for peer-to-peer (P2P) architectures, file sharing remains the… 
Highly Cited
1996
Highly Cited
1996
The simplex-simulated annealing approach to continuous non-linear optimization
Highly Cited
1994
Highly Cited
1994
An Evolutionary Algorithm for Integer Programming
The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are… 
Highly Cited
1980
Highly Cited
1980
Society as a Learning System : Discovery, Invention, and Innovation Cycles Revisited : Technological Forecasting and Social Change
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