Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables
F Samanipour, J Jelovica - Applied Soft Computing, 2020 - Elsevier
While evolutionary algorithms are known among the best methods for solving both
theoretical and real-world optimization problems, constraint handling is still one of the major …
theoretical and real-world optimization problems, constraint handling is still one of the major …
Improved multi-objective structural optimization with adaptive repair-based constraint handling
J Jelovica, Y Cai - Engineering Optimization, 2024 - Taylor & Francis
Engineering optimization typically involves a large number of nonlinear constraints;
therefore, effective constraint handling techniques (CHTs) are sought for metaheuristic …
therefore, effective constraint handling techniques (CHTs) are sought for metaheuristic …
Learning-based ship design optimization approach
With the development of computer applications in ship design, optimization, as a powerful
approach, has been widely used in the design and analysis process. However, the running …
approach, has been widely used in the design and analysis process. However, the running …
Optimization of crashworthy marine structures
History shows that ferry and RoPax collisions with tankers can be devastating for human life.
This paper follows up such a scenario to contribute to rational increase of safety of marine …
This paper follows up such a scenario to contribute to rational increase of safety of marine …
On structural design of energy efficient small high-speed craft
This paper presents an integrated design procedure for determination of structural
arrangement and scantlings for the complete structure of small high-speed craft. The …
arrangement and scantlings for the complete structure of small high-speed craft. The …
A multi-objective variable-fidelity optimization method for genetic algorithms
J Zhu, YJ Wang, M Collette - Engineering Optimization, 2014 - Taylor & Francis
A novel variable-fidelity optimization (VFO) scheme is presented for multi-objective genetic
algorithms. The technique uses a low-and high-fidelity version of the objective function with …
algorithms. The technique uses a low-and high-fidelity version of the objective function with …
Improving multi-objective structural optimization with a novel constraint-handling method
F Samanipour, J Jelovica - Trends in the Analysis and Design of …, 2019 - taylorfrancis.com
Metaheuristic algorithms are popular for solving engineering optimization problems because
of their robustness and simplicity. However, they are computationally inefficient and can …
of their robustness and simplicity. However, they are computationally inefficient and can …
Hull-superstructure interaction in optimised passenger ships
The paper investigates the interaction between the hull and the superstructure in optimised
passenger ships when exposed to bending loads. The coupled beam theory was applied to …
passenger ships when exposed to bending loads. The coupled beam theory was applied to …
Design of innovative ship concepts using an integrated decision support system for ship production and operation
Sažetak The paper describes a concept of integrated decision support system for a
methodological assessment of ship designs that provide a rational basic for making …
methodological assessment of ship designs that provide a rational basic for making …
[DOC][DOC] Structural omni-optimization of a tanker
A Klanac, J Jelovica, M Niemeläinen… - … Technology in the …, 2008 - anast-eu.ulg.ac.be
Omni-optimization assumes a capability to perform several types of optimization, eg single-
and multi-objective, using the same optimization algorithm, or the omni-optimizer. Here we …
and multi-objective, using the same optimization algorithm, or the omni-optimizer. Here we …