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Multi-Period Stock Allocation Via Robust Optimization
Multi-Period Stock Allocation Via Robust Optimization

leipzip08
leipzip08

An Introduction to Variational Methods for Graphical Models
An Introduction to Variational Methods for Graphical Models

Efficient Pseudorandom Generators Based on the DDH Assumption
Efficient Pseudorandom Generators Based on the DDH Assumption

“relations constraints” on lifting variables + SDP Relaxation Question
“relations constraints” on lifting variables + SDP Relaxation Question

... Relaxations of higher order incorporate the inequality constraints in LMI • We show relaxation of order 2 • It is possible to continue and apply relaxations • Theory guarantees convergence to global optimum ...


Public-key encryption
Public-key encryption

What is a heuristic? - University of Alberta
What is a heuristic? - University of Alberta

Availability-aware Mapping of Service Function Chains
Availability-aware Mapping of Service Function Chains

Here - School of Computer Science, University of Birmingham.
Here - School of Computer Science, University of Birmingham.

... amount of the “right” form of diversity is needed for good generalization? The answers to these two questions may allow us to identify specific conditions whereby diversity can be exploited to improve the generalization performance in coevolutionary learning. Although our results have shown that not ...
Trading Off Solution Quality for Faster Computation in
Trading Off Solution Quality for Faster Computation in

Ch 6
Ch 6

38. A preconditioner for the Schur complement domain
38. A preconditioner for the Schur complement domain

... respect to the number of right-hand sides using different methods, and we report also the total number of iterations, the size of the coarse problem (in brackets) and the CPU times. The GNN (CM) method converges quickly but the cost of one iteration is more important than the other methods, because o ...
Associative Algorithms for Computational Creativity
Associative Algorithms for Computational Creativity

... the associative paradigm described classically, with associations built largely on memory and information retrieval through similarity and mediation. Associative thought processes require links, which we can label with the relationships they express. Although not strictly necessary, such labeling of ...
differential evolution based classification with pool of
differential evolution based classification with pool of

Connectionism and Information Processing Abstractions
Connectionism and Information Processing Abstractions

Oscillatory Instabilities and Dynamics of Multi-Spike Patterns for the
Oscillatory Instabilities and Dynamics of Multi-Spike Patterns for the

... particular, such a problem determines a flame-front interface in the thin reaction zone limit of a certain PDE model of solid fuel combustion on the infinite line (cf. [28]). By using the heat kernel, this Stefan problem was reformulated in [28] into a nonlinear integrodifferential equation for the ...
LEC01 - aiub study guide
LEC01 - aiub study guide

Variational Inference for Dirichlet Process Mixtures
Variational Inference for Dirichlet Process Mixtures

GNU/Linux AI & Alife HOWTO
GNU/Linux AI & Alife HOWTO

Artificial Intelligence
Artificial Intelligence

... all living species are intelligent. But how about these plants and tress, they are living species but are they also intelligent? So can we say that Intelligence is a trait of some living species? Let us try to understand the phenomena of intelligence by using a few examples. Consider the following i ...
Regularization Tools
Regularization Tools

Solving inverse problems through a smooth formulation of multiple
Solving inverse problems through a smooth formulation of multiple

The Problem of Logical-Form Equivalence
The Problem of Logical-Form Equivalence

... relatively inexpressive logics (like first-order logic). There are restricted cases in which it is computable; for instance, propositional logic has a decidable equivalence problem. However, even for such restricted logics, the problem is not effectively solved unless the notion of canonical form im ...
26 Optimal Bounds for Johnson-Lindenstrauss
26 Optimal Bounds for Johnson-Lindenstrauss

< 1 2 3 4 5 6 7 ... 90 >

Genetic algorithm



In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
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