Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genetic Parallel Programming: design and implementation.

Evolutionary computation - 1 Jan 2006

Cheang Sin Man, Leung Kwong Sak, Lee Kin Hong

Abstract excerpt

This paper presents a novel Genetic Parallel Programming (GPP) paradigm for evolving parallel programs running on a Multi-Arithmetic-Logic-Unit (Multi-ALU) Processor (MAP). The MAP is a Multiple Instruction-streams, Multiple Data-streams (MIMD), general-purpose register machine that can be implemented on modern Very Large-Scale Integrated Circuits (VLSIs) in order to evaluate genetic programs at high speed. For...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Artificial Intelligence
Share to Computational Biology

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Evolution, Molecular

Share to Models, Statistical

Share to Pattern Recognition, Automated

Share to Programming Languages

Share to Software

Source

Identifiers

PMID: 16831104
DOI: 10.1162/evco.2006.14.2.129

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic Parallel Programming: design and implementation.PMID 16831104Read ↗

The genotype-phenotype map of an evolving digital organism.Semantic proximity Read ↗

Chemical genetic algorithms--evolutionary optimization of binary-to-real-value translation in genetic algorithms.Semantic proximity Read ↗

A genetic engineering approach to genetic algorithms.Semantic proximity Read ↗

An evolutionary optimization strategy using graphics processing units to efficiently investigate gene-gene interactions in genetic association studies.Semantic proximity Read ↗

Evolutionary Growth of Genome Representations on Artificial Cellular Organisms with Indirect Encodings.Semantic proximity Read ↗

Genetic algorithms and their application to in silico evolution of genetic regulatory networks.Semantic proximity Read ↗

The evolvability of programmable hardware.Semantic proximity Read ↗

LLM-Driven Metaheuristic Innovation: An Adaptive Hybrid COA–LSHADE–MPA AlgorithmSemantic proximity Read ↗

Q&A: Evolutionary capacitance.Semantic proximity Read ↗

Variable length representation in evolutionary electronics.Semantic proximity Read ↗

The genotypic complexity of evolved fault-tolerant and noise-robust circuits.Semantic proximity Read ↗

Empirical analysis of locality, heritability and heuristic bias in evolutionary algorithms: a case study for the multidimensional knapsack problem.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.