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A distributed parallel genetic algorithm for solving optimal growth models

https://doi.org/10.1007/bf01298458
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00993252openalex-snapshot
Dynamic Parameter Encoding for Genetic Algorithms
inferredcites →https://doi.org/10.1007/bfb0029746openalex-snapshot
Explicit parallelism of genetic algorithms through population structures
inferredcites →https://doi.org/10.1007/bfb0029750openalex-snapshot
Optimization using distributed genetic algorithms
inferredcites →https://doi.org/10.1016/0022-0531(92)90061-lopenalex-snapshot
Projection methods for solving aggregate growth models
inferredcites →https://doi.org/10.1016/0169-2070(88)90124-0openalex-snapshot
Journal of business and economic statistics
inferredcites →https://doi.org/10.1016/0921-8009(95)00056-9openalex-snapshot
Land degradation and property regimes
inferredcites →https://doi.org/10.1016/s0167-8191(05)80052-3openalex-snapshot
The parallel genetic algorithm as function optimizer
inferredcites →https://doi.org/10.1038/scientificamerican0792-66openalex-snapshot
Genetic Algorithms
inferredcites →https://doi.org/10.1080/07350015.1990.10509766openalex-snapshot
Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods
inferredcites →https://doi.org/10.1080/09528139008953723openalex-snapshot
GENITOR II: a distributed genetic algorithm
inferredcites →https://doi.org/10.1126/science.8346439openalex-snapshot
Genetic Algorithms: Principles of Natural Selection Applied to Computation
inferredcites →https://doi.org/10.21034/sr.171openalex-snapshot
Algorithms for Solving Dynamic Models With Occasionally Binding Constraints
inferredcites →https://doi.org/10.2307/2951661openalex-snapshot
Discrete-Time Finite Horizon Approximation of Infinite Horizon Optimization Problems with Steady-State Invariance
inferredcites →https://doi.org/10.3386/w3117openalex-snapshot
Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-7908-1784-3_22openalex-snapshot
Evolutionary Computation in Economics and Finance: A Bibliography
inferred← citeshttps://doi.org/10.1007/978-94-015-8743-3_4openalex-snapshot
A Distributed Parallel Genetic Algorithm: An Application from Economic Dynamics
inferred← citeshttps://doi.org/10.1007/bf00119476openalex-snapshot
Functional search in economics using genetic programming
inferred← citeshttps://doi.org/10.1007/bf01298457openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/s001910050049openalex-snapshot
Genetic algorithms in evolutionary modelling
inferred← citeshttps://doi.org/10.1007/s10614-007-9094-2openalex-snapshot
A Parallel Implementation of the Simplex Function Minimization Routine
inferred← citeshttps://doi.org/10.1007/s10614-008-9143-5openalex-snapshot
Multi-core CPUs, Clusters, and Grid Computing: A Tutorial
inferred← citeshttps://doi.org/10.1007/s10614-010-9197-zopenalex-snapshot
International Environmental Agreements with Asymmetric Countries
inferred← citeshttps://doi.org/10.1007/s10614-013-9377-8openalex-snapshot
Nelder-Mead Simplex Optimization Routine for Large-Scale Problems: A Distributed Memory Implementation
inferred← citeshttps://doi.org/10.1016/0921-8009(95)00056-9openalex-snapshot
Land degradation and property regimes
inferred← citeshttps://doi.org/10.1016/s0165-1889(99)00077-9openalex-snapshot
Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm
inferred← citeshttps://doi.org/10.1016/s0377-2217(02)00672-0openalex-snapshot
A multipurpose parallel genetic hybrid algorithm for non-linear non-convex programming problems
inferred← citeshttps://doi.org/10.1108/03684920210417319openalex-snapshot
Designing a superstructure for parametric search for optimal search spaces in non‐trivial optimization problems
inferred← citeshttps://doi.org/10.1108/03684920810907823openalex-snapshot
Scalability of the genetic hybrid algorithm on a parallel supercomputer
inferred← citeshttps://doi.org/10.1108/03684920910973180openalex-snapshot
Concurrent processing of mixed‐integer non‐linear programming problems
inferred← citeshttps://doi.org/10.1109/nafips.1996.534788openalex-snapshot
The concepts of fuzzy sets and genetic algorithms: contrasts and similarities of expectations and development patterns (or would you rather mutate or go fuzzy?)
inferred← citeshttps://doi.org/10.4018/978-1-59140-984-7.ch018openalex-snapshot
Heterogeneous Learning Using Genetic Algorithms
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