Search Results - (automatic OR automationky) programming— program synthesis general terms algorithms*

Review and Mapping of Search-Based Approaches for Program Synthesis.

Authors: Saber, Takfarinas Tao, Ning

Source: Information; May2025, Vol. 16 Issue 5, p401, 28p

Subject Terms: SOFTWARE development tools, SEARCH algorithms, COMMUNITY-based programs, HEURISTIC programming, METAHEURISTIC algorithms

A Memetic and Reflective Evolution Framework for Automatic Heuristic Design Using Large Language Models.

Authors: Qi, Fubo Wang, Tianyu Zheng, Ruixiang et al.

Source: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8735, 26p

Subject Terms: HEURISTIC, LANGUAGE models, HEURISTIC algorithms, METAHEURISTIC algorithms, MATHEMATICAL optimization, HEURISTIC programming

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth

Authors: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Contributors: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

The Role of Interactive Program Synthesis in the Future of Software Development.

Authors: Shaout, Adnan Ditty, Javid Carr, Kyle

Source: Cureus Journal of Computer Science; Jul2025, Vol. 2 Issue 1, p1-27, 27p

Learning Programs from Traces Using Version Space Algebra

Authors: Tessa Lau Pedro Domingos Daniel S. Weld et al.

Contributors: Tessa Lau Pedro Domingos Daniel S. Weld et al.

Source: http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf.

Subject Terms: Automatic programming—Program synthesis General Terms Algorithms, Experimentation, Human Factors

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438; http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438
http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

AnnCoder: A Mti-Agent-Based Code Generation and Optimization Model.

Authors: Zhang, Zhenhua Wang, Jianfeng Li, Zhengyang et al.

Source: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p1087, 25p

Subject Terms: LANGUAGE models, ADAPTIVE control systems, MULTIAGENT systems, PROGRAMMING languages, TEMPERATURE control, SIMULATED annealing

Meta-Optimizing Semantic Evolutionary Search Categories and Subject Descriptors I.2.2 [Artificial Intelligence]: Automatic Programming – Program synthesis General Terms

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.metacog.org/papers/gecco07c.pdf.

Subject Terms: Algorithms, Design, Experimentation Keywords Empirical Study, Heuristics, Optimization

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.706; http://www.metacog.org/papers/gecco07c.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.706
http://www.metacog.org/papers/gecco07c.pdf

A Systematic Literature Review of 10 years of Research on Program Synthesis and Natural Language Processing.

Authors: Ramírez-Rueda, Rolando Benítez-Guerrero, Edgard Mezura-Godoy, Carmen et al.

Source: Programming & Computer Software; Dec2024, Vol. 50 Issue 8, p725-741, 17p

Subject Terms: LANGUAGE models, SOFTWARE requirements specifications, COMPUTER software development, NATURAL languages, RESEARCH institutes

Advanced Techniques for the Creation and Propagation of Modules

Authors: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Contributors: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program Synthesis General Terms Algorithms, Design, Experimentation, Performance Keywords Cartesian genetic programming (CGP, embedded cartesian

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377
http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf

MOGE: GP classification problem decomposition using multi-objective optimization

Authors: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Contributors: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Design, Experimentation. Keywords Genetic Programming, Multi-objective Classification

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631; http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631
http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Towards Identifying Populations that Increase the Likelihood of

Authors: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Contributors: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Experimentation, Theory. Keywords Population dynamics, initial populations, binomial-3, GP problem difficulty

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming.

Authors: Tao, Ning Ventresque, Anthony Nallur, Vivek et al.

Source: Algorithms; Jul2024, Vol. 17 Issue 7, p287, 20p

Subject Terms: LANGUAGE models, ARTIFICIAL intelligence, CHATGPT, PROGRAMMING languages, GRAMMAR

Search-based program synthesis.

Authors: Alur, Rajeev Singh, Rishabh Fisman, Dana et al.

Source: Communications of the ACM; Dec2018, Vol. 61 Issue 12, p84-93, 10p, 1 Illustration

Subject Terms: COMPUTER programming, COMPUTER input-output equipment, ELECTRONIC information resource searching, INFORMATION retrieval, SEARCH engines, SEARCH algorithms, INPUT-output analysis

Optimizing Homomorphic Evaluation Circuits by Program Synthesis and Time-bounded Exhaustive Search.

Authors: DONGKWON LEE WOOSUK LEE HAKJOO OH et al.

Source: ACM Transactions on Programming Languages & Systems; Sep2023, Vol. 45 Issue 3, p1-37, 37p

Subject Terms: COMPILERS (Computer programs), EXPERTISE

The effect of distance metrics in a general purpose synthesizer of imperative programs: A second empirical study using enlarged search spaces.

Authors: Correia, Alexandre R. S. Iyoda, Juliano M. Mota, Alexandre C.

Source: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p528-540, 13p

Subject Terms: EMPIRICAL research, RESEARCH personnel

Solving the Schrödinger equation using program synthesis.

Authors: Habershon, Scott

Source: Journal of Chemical Physics; 10/21/2021, Vol. 155 Issue 15, p1-16, 16p

Subject Terms: SCHRODINGER equation, POTENTIAL energy surfaces, MATHEMATICAL functions, ALGORITHMS, LINEAR codes, SIMULATED annealing

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth ABSTRACT

Authors: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Contributors: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Source: http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf.

Subject Terms: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458
http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf

CTDip: a diversity-guided test program synthesis approach for boosting compiler bug detection.

Authors: Tang, Yixuan Zeng, Junwei Zhang, Jingxuan et al.

Source: Empirical Software Engineering; Jun2025, Vol. 30 Issue 3, p1-33, 33p

MP: motion program synthesis with machine learning interpretability and knowledge graph analogy.

Authors: Cai, Cheng-Hao

Source: Automated Software Engineering; Jun2025, Vol. 32 Issue 1, p1-40, 40p

The effect of distance metrics in a general purpose synthesizer: An empirical study on integer domain imperative programs.

Authors: Correia, Alexandre R. S. Iyoda, Juliano M. Mota, Alexandre C.

Source: Software: Practice & Experience; May2022, Vol. 52 Issue 5, p1294-1304, 11p

Subject Terms: INTEGERS, GENETIC algorithms, EMPIRICAL research, ONE-way analysis of variance, GENETIC models, LOSSLESS data compression