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Record W2017908213 · doi:10.5539/emr.v1n2p96

The Further Research on the Application of ABC to the Optimization and Control of Project

2012· article· en· W2017908213 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEngineering Management Research · 2012
Typearticle
Languageen
FieldEngineering
TopicSimulation and Modeling Applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAnt colony optimization algorithmsParticle swarm optimizationMetaheuristicHeuristicGenetic algorithmComputer scienceMathematical optimizationArtificial bee colony algorithmParallel metaheuristicSwarm behaviourMulti-swarm optimizationMeta-optimizationQuality (philosophy)Swarm intelligenceArtificial intelligenceAlgorithmMathematics

Abstract

fetched live from OpenAlex

A new way of optimization has caught many researchers’attention, namely the heuristic algorithms, including Genetic Algorithm (GA), Simulating Algorithm (SA), Particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Bee Colony Algorithm (ABC) and so on. Some ways of the heuristic algorithms belong to swarm intelligent optimizating algoritms such as PSO, ACO and ABC. ABC is the newest of the swarm intelligent optimizating algorithms, which is not developed perfectly and not be fully employed to a variety of fields. The paper introduces ABC to the optimization of the muli-objective optimization on construction project time-cost-quality and compare the results of ABC with the results of GA or PSO, which not only optimizes the project, but also proves the effectiveness of ABC, extends the applied fields of ABC and puts forword a new effective method of optimizing the construction project time-cost-quality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.376
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it