On the public citation graph

Genetic programming bloat with dynamic fitness

0 signed · 47 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4471-0427-8_2openalex-snapshot

Fitness Causes Bloat

inferredcites →https://doi.org/10.1007/978-1-4615-5731-9openalex-snapshot

Genetic Programming and Data Structures

inferredcites →https://doi.org/10.1007/bfb0055926openalex-snapshot

Fitness causes bloat: Mutation

inferredcites →https://doi.org/10.1007/springerreference_12176openalex-snapshot

design and manufacturing

inferredcites →https://doi.org/10.1016/0898-1221(95)90099-3openalex-snapshot

Genetic programming II: Automatic discovery of reusable programs

inferredcites →https://doi.org/10.1016/b978-1-55860-356-1.50017-0openalex-snapshot

Greedy Recombination and Genetic Search on the Space of Computer Programs

inferredcites →https://doi.org/10.1038/227520a0openalex-snapshot

Selection and Covariance

inferredcites →https://doi.org/10.1109/icec.1998.700102openalex-snapshot

The evolution of size in variable length representations

inferredcites →https://doi.org/10.25549/usctheses-c20-187980openalex-snapshot

Recombination, selection, and the genetic construction of computer programs

inferredcites →https://doi.org/10.7551/mitpress/1108.003.0009openalex-snapshot

Genetic Programming and Emergent Intelligence

inferredcites →https://doi.org/10.7551/mitpress/1109.003.0026openalex-snapshot

Data Structures and Genetic Programming

inferredcites →https://doi.org/10.7551/mitpress/3242.003.0029openalex-snapshot

Code Growth in Genetic Programming

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cplx.10021openalex-snapshot

How neutral networks influence evolvability

inferred← citeshttps://doi.org/10.1002/tee.20311openalex-snapshot

Dynamic ant programming for automatic construction of programs

inferred← citeshttps://doi.org/10.1002/tee.21865openalex-snapshot

Evolving graph‐based chromosome by means of variable size genetic network programming with binomial distribution

inferred← citeshttps://doi.org/10.1007/3-540-32494-1_5openalex-snapshot

Estimation of Distribution Programming: EDA-based Approach to Program Generation

inferred← citeshttps://doi.org/10.1007/3-540-36599-0_13openalex-snapshot

Reducing Population Size while Maintaining Diversity

inferred← citeshttps://doi.org/10.1007/3-540-45355-5_24openalex-snapshot

Linear-Tree GP and Its Comparison with Other GP Structures

inferred← citeshttps://doi.org/10.1007/3-540-45356-3_20openalex-snapshot

Genetic Programming Bloat without Semantics

inferred← citeshttps://doi.org/10.1007/978-3-031-29573-7_13openalex-snapshot

Memetic Semantic Genetic Programming for Symbolic Regression

inferred← citeshttps://doi.org/10.1007/978-3-540-71605-1_6openalex-snapshot

Empirical Analysis of GP Tree-Fragments

inferred← citeshttps://doi.org/10.1007/978-3-540-92910-9_24openalex-snapshot

Genetic Programming — Introduction, Applications, Theory and Open Issues

inferred← citeshttps://doi.org/10.1007/bfb0055926openalex-snapshot

Fitness causes bloat: Mutation

inferred← citeshttps://doi.org/10.1007/s10489-018-1327-7openalex-snapshot

GSP: an automatic programming technique with gravitational search algorithm

inferred← citeshttps://doi.org/10.1007/s10710-010-9110-5openalex-snapshot

Theoretical results in genetic programming: the next ten years?

inferred← citeshttps://doi.org/10.1007/s10710-010-9113-2openalex-snapshot

Open issues in genetic programming

inferred← citeshttps://doi.org/10.1007/s10710-011-9140-7openalex-snapshot

Long memory time series forecasting by using genetic programming

inferred← citeshttps://doi.org/10.1007/s10710-011-9150-5openalex-snapshot

Operator equalisation for bloat free genetic programming and a survey of bloat control methods

inferred← citeshttps://doi.org/10.1007/s10710-024-09506-1openalex-snapshot

Memetic semantic boosting for symbolic regression

inferred← citeshttps://doi.org/10.1007/s11071-014-1702-9openalex-snapshot

Development and application of computational intelligence approaches for the identification of complex nonlinear systems

inferred← citeshttps://doi.org/10.1016/j.asoc.2017.06.050openalex-snapshot

Statistical genetic programming for symbolic regression

inferred← citeshttps://doi.org/10.1016/j.eswa.2017.08.022openalex-snapshot

An investigation of dynamic fitness measures for genetic programming

inferred← citeshttps://doi.org/10.1023/a:1010024515191openalex-snapshot

Size Fair and Homologous Tree Crossovers for Tree Genetic Programming

inferred← citeshttps://doi.org/10.1023/a:1014548204452openalex-snapshot

Some Considerations on the Reason for Bloat

inferred← citeshttps://doi.org/10.1109/cec.1999.782609openalex-snapshot

On the search space of genetic programming and its relation to nature's search space

inferred← citeshttps://doi.org/10.1109/cec.2008.4631145openalex-snapshot

Fitness functions for the unconstrained evolution of digital circuits

inferred← citeshttps://doi.org/10.1109/cec.2008.4631308openalex-snapshot

Subtree deactivation control with grammatical Genetic Programming in dynamic environments

inferred← citeshttps://doi.org/10.1145/2001576.2001763openalex-snapshot

A comparison of GE and TAGE in dynamic environments

inferred← citeshttps://doi.org/10.1145/2001858.2001961openalex-snapshot

Dynamic ant

inferred← citeshttps://doi.org/10.1162/106365603321829014openalex-snapshot

Modification Point Depth and Genome Growth in Genetic Programming

inferred← citeshttps://doi.org/10.1162/evco.1998.6.4.339openalex-snapshot

Code Growth, Explicitly Defined Introns, and Alternative Selection Schemes

inferred← citeshttps://doi.org/10.1162/evco.2006.14.3.309openalex-snapshot

A Comparison of Bloat Control Methods for Genetic Programming

inferred← citeshttps://doi.org/10.21203/rs.3.rs-853086/v1openalex-snapshot

Multi Expression Programming

inferred← citeshttps://doi.org/10.21203/rs.3.rs-898407/v1openalex-snapshot

Multi Expression Programming - an in-depth description

inferred← citeshttps://doi.org/10.48550/arxiv.1312.1858openalex-snapshot

How Santa Fe Ants Evolve

inferred← citeshttps://doi.org/10.48550/arxiv.2110.00468openalex-snapshot

New Evolutionary Computation Models and their Applications to Machine Learning

inferred← citeshttps://doi.org/10.5772/13786openalex-snapshot

Automatic Construction of Programs Using Dynamic Ant Programming

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.