... gate box layout optimization production monitoring machine learning exponent chromosome sensitivity Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference Rhodes, Greece, June 16 21, 2024 Copyright © 2024 by the International Society of Offshore and Polar...

... environment. Genetic algorithm is a simulation of the evolution of genetic material based on "Survival of the fittest". In the path planning; each chromosome composed of genes is a feasible path. Through fitness function; excellent individuals are selected for mutation; crossover and selection to produce...

... efficient and can be a very compact device with very high power density (Liu B, et al., 2014). lmmhd wave energy conversion device artificial intelligence wave energy conversion device renewable energy variation curve chromosome algorithm constraint spherical floater rf wave height...

... volume prediction. ship machine learning prediction prediction error rbf neural network optimized yangtze river artificial intelligence neural network port application optimized rbf neural network network weight optimization chromosome genetic algorithm node fitness function rbf...

... curve hull form orininal watertline approximate waterline chromosome health & medicine representation path curve parameterization method characteristic curve Representation for Characteristic Curves of Hull form Using Immune Genetic Algorithm based on NURBS with Path Curve Parameterization...

... based on sensitivity study to the added resistance. The wave resistance is also computed in order to confirm reduction of the total resistance of such ship. marine transportation chromosome amplitude coefficient sectional area curve evolutionary algorithm selection machine learning...

... the genetic algorithm speeds up the algorithm significantly. chromosome population size jacket support structure reanalysis crossover calculation evolutionary algorithm wind energy constraint modification time-domain simulation fitness algorithm optimization problem artificial...

..., is measured from its reflection and transmission wave coefficients obtained by BEM. For easy remeshing, each side of the body surface is represented by Bezier curves which can be drawn conveniently by a set of control points. This set of control points represents a chromosome of an individual/model. Genetic...

... was used to run GA. The code of Chromosomes has been done from these four control factors-N , NH, kh, and H Chromosomes from the current population are selected with a given probability, and copies of these chromosomes are created. The selection of chromosomes is based on their fitness relative...

..., and Kierstead, 2001) developed a calculation method for the continuous-search-path problem based on the combination of the GA and the detection range. optimization problem detection range look direction chromosome reproduction artificial intelligence hemsteter optimal search path detection radius...

... as an intermediate agent. As for the generation of block division plans, ‘Nodal Cut Set Method’ is proposed in which various plans are generated based on the chromosome, using graph theory and logical operations. Plans are evaluated using the product model data. The validity of the proposed system is shown...

... optimization is applied to the solution of this problem. waterline constraint design variable arc curve nurb curve straight line fitness value fore body control point engineering precision genetic algorithm chromosome objective function marine transportation end point representation...

... machine learning sediment disaster model construction verification category genetic algorithm satellite image sediment disaster prediction map landslide construction landslide ratio artificial intelligence land development chromosome geographic information system correlation...

... of avoiding local minima in the search for the global one. In GA, chromosomes are defined as a string of bits from the binary representations of the design variables. The design variables are the variables which represent a given solution, in this case, a configuration. Each chromosome (representing...

... of thinking to come up with effective intelligent expert system providing vital support in decision-making process. shipbuilding artificial intelligence pre-erection area layout chromosome termination condition spatial block arrangement scheduling constraint bottleneck spatial arrangement...

... and stochastic remainder selection. Therefore, one of main drawback of SGAs is the computational time penalty involved in evaluating the cost functions for large populations, generation after generation. implementation heuristic approach evolutionary algorithm chromosome sga micro-genetic algorithm...

... nonlinearly haddara nonlinear ga approach response curve genetic algorithm ship motion coefficient initial condition total trial system parameter free-decay response equation artificial intelligence parameter estimation machine learning estimation chromosome Proceedings o/the Sixth (1996...