Comparing ROSE and the NBI algorithm combined with a SF with same , applied to the problem of the bi-objective optimization of an I-Beam using different initial values of <i>x</i><sub><i>o</i></sub> that correspond to starting at different points in the objective space: (a) Run 1, <i>x</i><sub><i>o</i></sub> = <i>[</i>45,35,3.8,1.2<i>]</i> (b) <i>x</i><sub><i>o</i></sub> = <i>[</i>30,20,1.5,4<i>]</i> (c)<i>x</i><sub><i>o</i></sub> = <i>[</i>45,35,2,4<i>]</i> (d) Comparing the mean number of iterations per significant Pareto point for both algorithms across runs from different initial guesses.

Comparing ROSE and the NBI algorithm combined with a SF with same , applied to the problem of the bi-objective optimization of an I-Beam using different initial values of <i>x</i><sub><i>o</i></sub> that correspond to starting at different points in the objective space: (a) Run 1, <i>x</i><sub><i>o</i></sub> = <i>[</i>45,35,3.8,1.2<i>]</i> (b) <i>x</i><sub><i>o</i></sub> = <i>[</i>30,20,1.5,4<i>]</i> (c)<i>x</i><sub><i>o</i></sub> = <i>[</i>45,35,2,4<i>]</i> (d) Comparing the mean number of iterations per significant Pareto point for both algorithms across runs from different initial guesses.

<p>Comparing ROSE and the NBI algorithm combined with a SF with same , applied to the problem of the bi-objective optimization of an I-Beam using different initial values of <i>x</i><sub><i>o</i></sub> that correspond to starting at different points in the o...

Full description

Saved in:

Bibliographic Details
Main Author:	Ihab Hashem (21156806) (author)
Other Authors:	Viviane De Buck (17695851) (author), Seppe Seghers (21956770) (author), Jan Van Impe (5404772) (author)
Published:	2025
Subjects:	Biotechnology Sociology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two conflicting objectives straightforward parameterization guided reduced computational cost minimizing biomass cost improved without worsening existing deterministic methods computationally efficient method creating denser branches based solution strategy xlink "> bi solution process within pareto front based algorithm &# 8217 objective optimization problems include scalarization techniques objective space recursively pareto front branches within standard scalarization process needs problems produces strategy demonstrates alternative strategy tackles bi solved independently rose ): rich segments points called light energy least one detailed representation balancing exploration algorithm navigates adaptive representation
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Solving the three-objectives numerical problem from [36] using a generalized version of the ROSE algorithm for three-objective problems: (a) The Pareto front representation corresponding to three recursive levels of the algorithm. (b) Visualization of the solution process in the three-dimensional objective space.
by: Ihab Hashem (21156806)
Published: (2025)

Illustration of the recursive objective space exploration process implemented by the ROSE algorithm.
by: Ihab Hashem (21156806)
Published: (2025)

Pareto front representations obtained by solving the BIOBJ problem using the ROSE algorithm and the NBI algorithm, as well as a visualization of the solution process of the ROSE algorithm in the objective space.
by: Ihab Hashem (21156806)
Published: (2025)

Pareto front representations for with adaptive density obtained by solving the CONSTR- problem using the ROSE algorithm and the NBI algorithm coupled with posteriori filtering via a SF are depicted, along with a visualization of the solution process of the ROSE algorithm in the objective space.
by: Ihab Hashem (21156806)
Published: (2025)

Pareto front representations with adaptive density obtained by solving the BIOBJ problem using the ROSE algorithm and the NBI algorithm coupled with posteriori filtering via a SF are depicted, along with a visualization of the solution process of the ROSE algorithm in the objective space.
by: Ihab Hashem (21156806)
Published: (2025)

Pareto front representations with adaptive density obtained by solving the DO2DK problem using the ROSE algorithm and the NBI algorithm coupled with posteriori filtering via a SF are depicted, along with a visualization of the solution process of the ROSE algorithm in the objective space. The stopping criterion of the ROSE algorithm, which aligns with the SF specification, was set to .
by: Ihab Hashem (21156806)
Published: (2025)

Comparing ROSE and the NBI algorithm combined with a SF with varying resolutions of the ROSE stopping criterion and the SF specification when applied to the DOD2K problem: (a) (b) (c) (d) Comparing the mean number of iterations per Pareto point for both algorithms across different ROSE stopping criterion/SF specifications.
by: Ihab Hashem (21156806)
Published: (2025)

Comparing ROSE and the NBI algorithm combined with a SF with varying resolutions of the ROSE stopping criterion and the SF specification when applied to the CONSTR- problem: (a) (b) (c) (d) Comparing the mean number of iterations per Pareto point for both algorithms across different ROSE stopping criterion/SF specifications.
by: Ihab Hashem (21156806)
Published: (2025)

Comparing ROSE and the NBI algorithm combined with a SF with varying resolutions of the ROSE stopping criterion and the SF specification when applied to the BIOBJ problem: (a) (b) (c) (d) Comparing the mean number of iterations per Pareto point for both algorithms across different ROSE stopping criterion/SF specifications.
by: Ihab Hashem (21156806)
Published: (2025)

Comparing ROSE and the NBI algorithms with varying sizes of the Pareto set/levels of recursion of the ROSE algorithm when applied to the BIOBJ problem: (a) 5 points/two recursion levels (b) 17 points/4 recursion levels (c) 65 points/6 recursion levels (d) Comparing mean number of iterations per Pareto point for both algorithms across different sizes of the Pareto set/recursion levels.
by: Ihab Hashem (21156806)
Published: (2025)

Validation results of the DNN models for mapping states to outflow schedules; (a): <i>O</i><sub><i>total</i>,<i>t</i> + 1</sub>, (b): <i>O</i><sub><i>total</i>,<i>t</i> + 2</sub>, (c): <i>O</i><sub><i>total</i>,<i>t</i> + 3</sub>, (d): <i>O</i><sub><i>total</i>,<i>t</i> + 4</sub>, (e): <i>O</i><sub><i>total</i>,<i>t</i> + 5</sub>.
by: Ja-Ho Koo (6561596)
Published: (2025)

Simulated |<i>S</i><sub>11</sub>| for different values of <i>l</i><sub><i>p</i></sub>.
by: Tan Dao-Duc (18980803)
Published: (2025)

Comparison Chart of <i>X</i><sub><i>c(0)</i></sub>, <i>X</i><sub><i>c(2)</i></sub>, <i>△X</i><sub><i>c</i></sub> and <i>△X</i><sub><i>c</i></sub><i>/X</i><sub><i>c(0)</i></sub>.
by: Xiaole Huang (18842289)
Published: (2024)

Kinematic variables (Θ, , ) for Branches 7b–11a, including vanishing shear cases. Dependencies on <i>a</i><sub><i>i</i></sub>, , <i>K</i><sub>1</sub>(<i>t</i>), and <i>K</i><sub>2</sub>(<i>t</i>) are shown.
by: Rabeb Sidaoui (22794330)
Published: (2025)

Average and Local Structure of La<sub>1–<i>x</i></sub>Sr<i><sub><i>x</i></sub></i>Fe<sub>1–<i>y</i></sub>Mn<i><sub><i>y</i></sub></i>O<sub>3−δ</sub> Chemical Looping Oxygen Carrier Materials
by: Daniel M. Telford (21238275)
Published: (2025)

Simulated |<i>S</i><sub>11</sub>| of the proposed single-layer wideband MS antenna for different lengths of the horizontal patch, <i>l</i><sub><i>p</i>2</sub>.
by: Tan Dao-Duc (18980803)
Published: (2025)

System states <i>x</i><sub>1</sub> and <i>x</i><sub>2</sub>.
by: Minglong Zhou (43537)
Published: (2024)

System states <i>x</i><sub>1</sub> and <i>x</i><sub>2</sub>.
by: Minglong Zhou (43537)
Published: (2024)

Kinematic variables (Θ, , ) for Branches 1a–7a in Bianchi type–I spacetimes under <i>f</i>(<i>T</i>) gravity. Expressions depend on parameters <i>a</i><sub><i>i</i></sub>, , and function <i>K</i><sub>1</sub>(<i>t</i>).
by: Rabeb Sidaoui (22794330)
Published: (2025)

Tuning the Molecular Structure and Reaction Mechanism of Olefin Metathesis by Model Bilayered Supported MoO<sub><i>x</i></sub>/AlO<sub><i>x</i></sub>/SiO<sub>2</sub> Catalysts
by: Eli M. Ream (21613677)
Published: (2025)

Drag polar of all dimpled BWB configurations at <i>Mach</i> 0.6; (a) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (b) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (c) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (d) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (e) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85; (f) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85.
by: Haris Ali (14711851)
Published: (2025)

Drag polar of all dimpled BWB configurations at <i>Mach</i> 0.15; (a) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (b) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (c) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (d) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (e) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85; (f) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85.
by: Haris Ali (14711851)
Published: (2025)

Initial structure and optimized structure Battery <i>T</i><sub><i>max</i></sub> and <i>T</i><sub><i>min</i></sub>.
by: Xueyong Pan (20390363)
Published: (2024)

<i>L</i><i>/</i><i>D</i> ratio of all dimpled BWB configurations at <i>Mach</i> 0.6; (a) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (b) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (c) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (d) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (e) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85; (f) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85.
by: Haris Ali (14711851)
Published: (2025)

<i>L</i><i>/</i><i>D</i> ratio of all dimpled BWB configurations at <i>Mach</i> 0.15; (a) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (b) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.15; (c) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (d) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.5; (e) <i>X</i><sub><i>ss</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85; (f) <i>X</i><sub><i>ps</i></sub><i>/c</i><sub><i>k</i></sub> = 0.85.
by: Haris Ali (14711851)
Published: (2025)

Expected payoffs of <i>P</i><sub><i>x</i></sub>(<i>x</i>|<i>y</i>) in .
by: Hitoshi Yamamoto (738861)
Published: (2025)

First <i>Ab Initio</i> Line Lists for Triatomic Sulfur-Containing Molecules: S<sub>2</sub>O and S<sub>3</sub>
by: Oleg Egorov (11225960)
Published: (2024)

Understanding Ion-Exchange Processes in the Synthesis of ZnS<sub><i>x</i></sub>@ZnO<sub><i>1–x</i></sub> Heterostructures from Controlled Sulfidation of ZnO Nanocrystals
by: Ekaterina Bellan (16940590)
Published: (2024)

Reference object with known dimensions, <i>x</i><sub><i>r</i></sub> = <i>60 mm</i>, and a digital scan with a corresponding measurement, <i>x</i><sub>c</sub>.
by: Sam Walters (20370504)
Published: (2024)

Original data related to the article <i>"Rashba Spin-Splitting Driven Inverse Spin Hall Effect in MnBi</i><sub><em>2</em></sub><i>Te</i><sub><em>4</em></sub><i>"</i>
by: Wen-Ti Guo (20392062)
Published: (2024)

The schematic diagram of the region <i>O</i><sub>1</sub>.
by: Long Di (9977453)
Published: (2025)

Simulated and measured |<i>S</i><sub>11</sub>| of the proposed antenna.
by: Tan Dao-Duc (18980803)
Published: (2025)

The <i>X</i><sub><i>c(2)</i></sub> and <i>X’</i><sub><i>C(2)</i></sub> calculated by theoretical method and interpolation method.
by: Xiaole Huang (18842289)
Published: (2024)

sMLR models: predicted <i>α</i><sub><i>RS</i></sub> as a function of the experimental one.
by: Jordy Peeters (19194409)
Published: (2025)

Monitoring LiNi<sub><i>x</i></sub>Co<sub><i>y</i></sub>Mn<sub>(1–x–y)</sub>O<sub>2</sub> Degradation in Contact with Li via <i>In Situ</i> Transmission Electron Microscopy
by: Min Liu (45756)
Published: (2024)

Monitoring LiNi<sub><i>x</i></sub>Co<sub><i>y</i></sub>Mn<sub>(1–x–y)</sub>O<sub>2</sub> Degradation in Contact with Li via <i>In Situ</i> Transmission Electron Microscopy
by: Min Liu (45756)
Published: (2024)

Monitoring LiNi<sub><i>x</i></sub>Co<sub><i>y</i></sub>Mn<sub>(1–x–y)</sub>O<sub>2</sub> Degradation in Contact with Li via <i>In Situ</i> Transmission Electron Microscopy
by: Min Liu (45756)
Published: (2024)

(a) The evolution of <i>X</i><sub><i>b</i>,<i>t</i></sub> and ( b) <i>Y</i><sub><i>i</i>,<i>t</i></sub> and maximum possible values over time; <i>X</i><sub><i>b</i>,<i>t</i></sub> and <i>Y</i><sub><i>i</i>,<i>t</i></sub> are defined as in Eq (7).
by: Marco Venturini (22076066)
Published: (2025)

Ergodic rate versus <i>P</i><sub><i>U</i></sub> for different values of <i>a</i><sub><i>c</i></sub> with <i>x</i><sub>1</sub> = 15 m, <i>x</i><sub>2</sub> = 25 m, and <i>m</i> = 2.
by: Nguyen Hong Nhu (22127327)
Published: (2025)

TiO<sub><i>x</i></sub>‑Based Implantable Memristor for Biomedical Engineering
by: Chuan Yang (1500979)
Published: (2025)

Cannot write session to /tmp/vufind_sessions/sess_1hfmukv4tou9j9lmivk6c5e5sh