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Deception, dominance and implicit parallelism in genetic search

https://doi.org/10.1007/bf01530780
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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/bf00113893openalex-snapshot
Genetic Algorithms in Noisy Environments
inferredcites →https://doi.org/10.1007/bf01530779openalex-snapshot
Construction of high-order deceptive functions using low-order Walsh coefficients
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50017-3openalex-snapshot
Fundamental Principles of Deception in Genetic Search
inferredcites →https://doi.org/10.1080/09528139008953717openalex-snapshot
Representational issues in genetic optimization
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.6083/9593tv49ropenalex-snapshot
Signal, noise, and genetic algorithms
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/10.1002/(sici)1520-6343(1997)3:1<61::aid-bspy5>3.0.co;2-vopenalex-snapshot
Genetic refinement of the molecular force field: Normal mode analysis of purine vibrations
inferred← citeshttps://doi.org/10.1007/978-3-642-18965-4_1openalex-snapshot
Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application
inferred← citeshttps://doi.org/10.1007/s10614-006-9021-yopenalex-snapshot
Improving Portfolio Efficiency: A Genetic Algorithm Approach
inferred← citeshttps://doi.org/10.1016/b978-0-08-050684-5.50017-3openalex-snapshot
Fundamental Principles of Deception in Genetic Search
inferred← citeshttps://doi.org/10.1016/b978-0-08-094832-4.50009-xopenalex-snapshot
An Executable Model of a Simple Genetic Algorithm
inferred← citeshttps://doi.org/10.1016/b978-0-08-094832-4.50011-8openalex-snapshot
Deception Considered Harmful* *With apologies to Edsger Dijkstra (Dijkstra, 1968).
inferred← citeshttps://doi.org/10.1016/b978-0-08-094832-4.50017-9openalex-snapshot
Remapping Hyperspace During Genetic Search: Canonical Delta Folding
inferred← citeshttps://doi.org/10.1016/b978-1-55860-356-1.50005-4openalex-snapshot
An Experimental Design Perspective on Genetic Algorithms
inferred← citeshttps://doi.org/10.1023/a:1021125021146openalex-snapshot
The advancement in the numerical methods of the scaling function calculation in problem of decaying turbulence
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000083openalex-snapshot
Provision of Reinforcement in Concrete Solids Using the Generalized Genetic Algorithm
inferred← citeshttps://doi.org/10.1080/10798587.2009.10643035openalex-snapshot
A New Quantifying Crossover With Ternary Representation
inferred← citeshttps://doi.org/10.1109/grc.2005.1547342openalex-snapshot
An improved genetic algorithm for solving deceptive problems
inferred← citeshttps://doi.org/10.1109/icec.1994.349990openalex-snapshot
Are deception and complexity conjugate variables in genetic learning?
inferred← citeshttps://doi.org/10.1109/icec.1998.699760openalex-snapshot
Compound optimisation. Solving transport and routing problems with a multi-chromosome genetic algorithm
inferred← citeshttps://doi.org/10.1162/evco.1999.7.2.109openalex-snapshot
Schemata Evolution and Building Blocks
inferred← citeshttps://doi.org/10.1201/9781420050073.ax1openalex-snapshot
An Indexed Bibliography of Genetic Algorithms
inferred← citeshttps://doi.org/10.4304/jcp.5.2.178-185openalex-snapshot
Algorithm Dynamics Analysis Method
inferred← citeshttps://doi.org/10.48550/arxiv.nlin/0006049openalex-snapshot
Schemata as Building Blocks: Does Size Matter?
inferred← citeshttps://doi.org/10.48550/arxiv.nlin/0105029openalex-snapshot
Some Exact Results from a Coarse Grained Formulation of Genetic Dynamics
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