... the early stage of ship design. The optimization is carried out in two levels and under multipoint operating conditions (OC). Multiobjective evolutionary algorithm based on decomposition (MOEA/D) as an efficient multiobjective evolutionary algorithm, Michell integral and OpenProp tool as low-fidelity...

... PRODUCTION AND DESIGN artificial intelligence evolutionary algorithm optimization problem upstream oil & gas sustainable development sustainability machine learning social responsibility marine transportation fishing vessel form optimization february 2022 optimization rankine source...

... the outfitting process such as installing pipes, equipment, and devices on the hull structure. Dimensional quality management is an activity performed to meet the dimensional quality that is required in the shipbuilding process, including at offshore manufacturing plants. evolutionary algorithm node...

... comparisons of the MOMA with two other well-known multi-objective evolutionary algorithms demonstrate its feasibility and effectiveness in generating optimal solutions to the bi-criterion fuzzy scheduling problem of panel block assembly. 1. Introduction The development of large ships leads to an increased...

.... The Society of Naval Architects and Marine Engineers Artificial Intelligence approximation design variable evolutionary algorithm constraint particle application NURB optimization problem free segment waterline ship production waterline approximation Particle Swarm Optimization control...

... of the proposed approach are illustrated by solving problems in designed test case and real ship applications. 1 5 2017 1 5 2017 2017. The Society of Naval Architects and Marine Engineers evolutionary algorithm constraint proceedings machine learning obstacle diameter Upstream Oil...

... and decision-makers. 1 11 2014 1 11 2014 2014 Society of Naval Architects and Marine Engineers evolutionary algorithm resistance optimization evolutionary computation machine learning resistance estimate probabilistic resistance estimate november 2014 constraint coello coello...

... Intelligence repair cost machine learning optimization problem particle evolutionary algorithm Midstream Oil & Gas normal steel algorithm strength steel crashworthiness steel ehler international maritime organisation kõrgesaar ship production side structure metals & mining Simulation...

... 1 8 2009 2009. The Society of Naval Architects and Marine Engineers machine learning shipbuilding pheromone optimization problem Ant city number Artificial Intelligence TSP end point application Okumoto path length ship production pheromone amount evolutionary algorithm...

... is optimized, and the result shows that this approach is effective. 1 2 2007 1 2 2007 2007. The Society of Naval Architects and Marine Engineers machine learning constraint bulk carrier erection network Artificial Intelligence erection sequence facility group evolutionary algorithm...

... evolutionary algorithm Simulation iteration mutation positioning chromosome fitness optimum position beforehand Okumoto erection simulation Optimization of Block Erection Using a Genetic Algorithm Yasuhisa Okumoto Kinki University, Faculty of Engineering, 1 Takayaumenobe, Higashihiroshima, 739...

..., (1993) 8. Chambers, Practical Handbook of Genetic Algorithm, CRC Press, Inc., N.W., (1995). 9. Goldberg, D. E., "Genetic Algorithms in Search Optimization and Machine Learning," Reading. Massachusetts, Addison Wesley, (1989). 232 NOVEMBER 2000 JOURNAL OF SHIP PRODUCTION evolutionary algorithm...

... 2000. The Society of Naval Architects and Marine Engineers Artificial Intelligence Simulation Robot ship production shipbuilding element division procedure fitness Welding non-skilled worker evolutionary algorithm optimum working route genotype sequence work indication machine...