Suchergebnisse - (automatizacia OR automation) programming general terms algorithms keywords coevolution~

Robust seru production optimisation under uncertain worker processing times.

Autoren: Wen, Muyang Zhang, Yuli Hu, Linyuan et al.

Quelle: International Journal of Production Research; Oct2025, Vol. 63 Issue 20, p7687-7727, 41p

Schlagwörter: ROBUST optimization, REINFORCEMENT learning, FLEXIBLE manufacturing systems, ANALYSIS of variance, LABOR time, CONSTRAINT satisfaction, EVOLUTIONARY computation, OPTIMIZATION algorithms

A Novel Sorting Route Planning Method for Irregular Sheet Parts in the Shipbuilding Process.

Autoren: Xing, Hongyan Luo, Cheng Song, Jichao et al.

Quelle: Journal of Marine Science & Engineering; Oct2025, Vol. 13 Issue 10, p1871, 20p

Schlagwörter: SHIPBUILDING, AUTOMATION, SORTING (Electronic computers), MATHEMATICAL programming, COMPUTER vision, LASER based sensors, ROUTE choice

A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem.

Autoren: Han, Biao Pan, Quan-Ke Gao, Liang

Quelle: International Journal of Production Research; Jun2024, Vol. 62 Issue 12, p4245-4272, 28p

Schlagwörter: GREEDY algorithms, DISTRIBUTED algorithms, PERMUTATIONS, LINEAR programming, SCHEDULING

Firma/Körperschaft: NATIONAL Endowment for the Humanities

A co-evolutionary algorithm with adaptive penalty function for constrained optimization.

Autoren: de Melo, Vinícius Veloso Nascimento, Alexandre Moreira Iacca, Giovanni

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Oct2024, Vol. 28 Issue 19, p11343-11376, 34p

Schlagwörter: CONSTRAINED optimization, SWARM intelligence, METAHEURISTIC algorithms, GENETIC programming, CONSTRAINT algorithms

Prediction-based decomposition optimisation for multi-portfolio supply chain resilience strategies under disruption risks.

Autoren: Yang, Yi Peng, Chen Cao, En-Zhi et al.

Quelle: International Journal of Production Research; Jan2025, Vol. 63 Issue 1, p241-262, 22p

Schlagwörter: SUPPLY chain disruptions, INTEGER programming, SUPPLY chains, COVID-19 pandemic, DECOMPOSITION method

OPTIMIZING ASSEMBLY LINE BALANCING WITH CARBON FOOTPRINT AND SPATIAL CONSTRAINTS: A CUSTOMIZED Q-LEARNING ALGORITHM.

Autoren: Yuchen Li Yuqing Tian

Quelle: International Journal of Industrial Engineering; 2025, Vol. 32 Issue 5, p1204-1222, 19p

Schlagwörter: ASSEMBLY line balancing, SUSTAINABILITY, MIXED integer linear programming, RESOURCE allocation, ECOLOGICAL impact, REINFORCEMENT learning, CONSTRAINT satisfaction, INDUSTRIAL efficiency

Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem.

Autoren: Chen, Juan Zhao, Hong Cui, Zhiya et al.

Quelle: Scientific Reports; 11/6/2025, Vol. 15 Issue 1, p1-23, 23p

TCDE: Differential Evolution for Topographical Contour-Based Prediction to Solve Multimodal Optimization Problems.

Autoren: Cheng, Zhen Zhang, Yun Fan, Caifu et al.

Quelle: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7557, 26p

Schlagwörter: DIFFERENTIAL evolution, OPTIMIZATION algorithms, BENCHMARK problems (Computer science), CONTOURS (Cartography), HEURISTIC, MATHEMATICAL optimization, MATHEMATICAL programming

A graph partitioning based cooperative coevolution for the batching problem in steelmaking production.

Autoren: Wang, Gongshu Guo, Qingxin Xu, Wenjie et al.

Quelle: International Journal of Production Research; Oct2022, Vol. 60 Issue 19, p5876-5891, 16p, 4 Diagrams, 4 Charts

Schlagwörter: DIFFERENTIAL evolution, COEVOLUTION, STEELMAKING furnaces, STEEL manufacture, MASS production, CLASSIFICATION algorithms, MANUFACTURING processes

Applications, classifications, and challenges: a comprehensive evaluation of recently developed metaheuristics for search and analysis.

Autoren: Shaikh, Muhammad Suhail Raj, Saurav Zheng, Gengzhong et al.

Quelle: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-110, 110p

DEHypGpOls: a genetic programming with evolutionary hyperparameter optimization and its application for stock market trend prediction.

Autoren: Ari, Davut Alagoz, Baris Baykant

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Mar2023, Vol. 27 Issue 5, p2553-2574, 22p

Schlagwörter: STOCK exchanges, MARKET timing, ECONOMIC trends, GENETIC programming, FINANCIAL markets, DIFFERENTIAL evolution

A Spark-Based Parallel Implementation of Arithmetic Optimization Algorithm.

Autoren: AlJame, Maryam Alnoori, Aisha Alfailakawi, Mohammad G. et al.

Quelle: International Journal of Applied Metaheuristic Computing; Jan2023, Vol. 14 Issue 1, p1-27, 27p

Schlagwörter: METAHEURISTIC algorithms, MATHEMATICAL optimization, ENGINEERING design, HEURISTIC programming, SEARCH algorithms

Forecasting Artificial General Intelligence for Sustainable Development Goals: A Data-Driven Analysis of Research Trends.

Autoren: Raman, Raghu Iyer, Akshay Nedungadi, Prema

Quelle: Sustainability (2071-1050); Aug2025, Vol. 17 Issue 16, p7347, 29p

Long-Term Progress and Behavior Complexification in Competitive Coevolution.

Autoren: Simione, Luca Nolfi, Stefano

Quelle: Artificial Life; Fall2020, Vol. 26 Issue 4, p409-430, 22p

Schlagwörter: COMPETITION (Psychology), COEVOLUTION, LIMIT cycles, EVOLUTIONARY algorithms, PREDATION

Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning: Learn to optimise for job shop scheduling: a survey...: M. Xu et al.

Autoren: Xu, Meng Mei, Yi Zhang, Fangfang et al.

Quelle: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-53, 53p

Schlagwörter: PRODUCTION scheduling, GENETIC programming, MANUFACTURING processes, SCHEDULING

Rescheduling optimisation of sustainable multi-objective fuzzy flexible job shop under uncertain environment.

Autoren: Wang, Ziqing Liao, Wenzhu Zhang, Yaping

Quelle: International Journal of Production Research; Dec2024, Vol. 62 Issue 24, p8904-8920, 17p

Schlagwörter: SUSTAINABILITY, JOB shops, CUSTOMER satisfaction, GENETIC algorithms, MANUFACTURING processes, ENERGY consumption

Meta-heuristics for portfolio optimization.

Autoren: Erwin, Kyle Engelbrecht, Andries

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Dec2023, Vol. 27 Issue 24, p19045-19073, 29p

Schlagwörter: SWARM intelligence, QUADRATIC programming, RESEARCH personnel, COMPUTER science, RESEARCH funding, EVOLUTIONARY algorithms

Platform Governance with Algorithm-Based Content Moderation: An Empirical Study on Reddit.

Autoren: He, Qinglai Hong, Yili Raghu, T. S.

Quelle: Information Systems Research; Jun2025, Vol. 36 Issue 2, p1078-1095, 18p

Schlagwörter: INTERNET content moderation, SOCIAL media, COMMUNITY support, VIRTUAL communities

A Novel Self-Adaptive Cooperative Coevolution Algorithm for Solving Continuous Large-Scale Global Optimization Problems †.

Autoren: Vakhnin, Aleksei Sopov, Evgenii

Quelle: Algorithms; Dec2022, Vol. 15 Issue 12, p451, 20p

Schlagwörter: GLOBAL optimization, COEVOLUTION, ALGORITHMS, PROBLEM solving, MATHEMATICAL optimization, SELF-adaptive software, METAHEURISTIC algorithms, EVOLUTIONARY algorithms

Automation in Model-Driven Engineering: A Look Back, and Ahead.

Autoren: Burgueño, Lola Di Ruscio, Davide Sahraoui, Houari et al.

Quelle: ACM Transactions on Software Engineering & Methodology; Jun2025, Vol. 34 Issue 5, p1-25, 25p

Schlagwörter: ENGINEERS, AUTOMATION, ARTIFICIAL intelligence, ENGINEERING