Results 11 to 20 of about 11,997,994 (262)
AN IMPROVED SURROGATE CONSTRAINTS METHOD FOR SEPARABLE NONLINEAR INTEGER PROGRAMMING [PDF]
Summary: An improved surrogate constraints method for solving separable nonlinear integer programming problems with multiple constraints is presented. The surrogate constraints method is very effective in solving problems with multiple constraints. The method solves a succession of surrogate constraints problems having a single constraint instead of ...
Yuji Nakagawa
exaly +6 more sources
Overall Parameters Design of Air-Launched Rockets Using Surrogate Based Optimization Method
In this paper, the design and optimization method of rocket parameters based on the surrogate model and the trajectory simulation system of the 3-DOF air-launched rockets were established.
Shenghui Cui +4 more
doaj +2 more sources
Expensive constraint multimodal optimization problems (ECMMOPs) have such characteristics as expensive objectives and constraints, and multiple optimal modalities simultaneously, which pose severe challenges to evolutionary optimization methods.
Xiao-Zhi Gao, Xiaoyan Sun, Ji Xinfang
exaly +2 more sources
On a New Constraint Reduction Heuristic Using Improved Bisection Method for Mixed Integer Linear Programming [PDF]
In this study, we develop a surrogate relaxation-based procedure to reduce mixed-integer linear programming (MILP) problem sizes. This technique starts with one surrogate constraint which is a nonnegative linear combination of multiple constraints of the
Hande Günay Akdemir
doaj +1 more source
Most existing aerodynamic shape optimization (ASO) studies do not take the balanced pitching moment into account and thus the optimized configuration has to be trimmed to ensure zero pitching moment, which causes additional drag and reduces the benefit ...
Kai Wang +3 more
doaj +1 more source
Recent advances in surrogate-based optimization [PDF]
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester +3 more
core +1 more source
SLIDE: a surrogate fairness constraint to ensure fairness consistency [PDF]
As they have a vital effect on social decision makings, AI algorithms should be not only accurate and but also fair. Among various algorithms for fairness AI, learning a prediction model by minimizing the empirical risk (e.g., cross-entropy) subject to a
Sara Kim +7 more
core +1 more source
An Improved Multi-Objective Particle Swarm Optimization Method for Rotor Airfoil Design
In this study, a multi-objective aerodynamic optimization is performed on the rotor airfoil via an improved MOPSO (multi-objective particle swarm optimization) method.
Yongchuan Wu, Gang Sun, Jun Tao
doaj +1 more source
Optimal Design of the Sealing Structure of a Hydraulic Cylinder on the Basis of a Surrogate Model
In this study, a finite-element simulation model was established for a two-dimensional hydraulic cylinder seal structure with highly nonlinear materials and contacts for achieving the optimal sealing effect with the structure. The effects of gaps as well
Hong Zhang +3 more
doaj +1 more source
Balancing Transferability and Imperceptibility for Adversarial Attacks [PDF]
Data-driven deep learning models face the problem of well-designed adversarial attacks due to their inability to cover all possible sample data.The existing main Lp-norm perturbation attack methods based on RGB pixel space have achieved great attack ...
KANG Kai, WANG Jiabao, XU Kun
doaj +1 more source

