Results 281 to 290 of about 12,262,956 (340)

Finite-Time Distributed Approximate Optimization Algorithms of Higher Order Multiagent Systems via Penalty-Function-Based Method

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
This article investigates the finite-time distributed approximate optimization problem of higher order multiagent systems, where the local cost functions are considered to be quadratic functions.
Guipu Li, Xiangyu Wang, Shihua Li
semanticscholar   +1 more source

A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems

IEEE Congress on Evolutionary Computation, 2021
For more than a decade, the efficiency and effectiveness of MOEA/D (Multi-Objective Evolutionary Algorithm based on Decomposition) when solving complicated problems has been shown.
Hugo Monzón Maldonado, Saúl Zapotecas Martínez   +1 more
semanticscholar   +1 more source

A penalty function-based differential evolution algorithm for constrained global optimization

Computational Optimization and Applications, 2012
M Montaz Ali, Ali M M
exaly   +2 more sources

Optimization of Three State Conical Intersections by Adaptive Penalty Function Algorithm in Connection with the Mixed-Reference Spin-Flip Time-Dependent Density Functional Theory Method (MRSF-TDDFT).

Journal of Physical Chemistry A, 2021
A new adaptive algorithm for penalty function optimization for minimum-energy three-states conical intersections (ME3CI) is suggested. The new algorithm differs from the original penalty function algorithm by (a) removing the redundancy in the target ...
Yong Su Baek, Seunghoon Lee, M. Filatov, C. Choi   +3 more
semanticscholar   +1 more source

Exactness and algorithm of an objective penalty function

Journal of Global Optimization, 2012
Zhiqing Meng, Chuangyin Dang, Min Jiang   +2 more
exaly   +2 more sources

Smoothing approximation to l1 exact penalty function for inequality constrained optimization

Applied Mathematics and Computation, 2012
Shujun Lian
exaly   +2 more sources

Penalty Function Approach

Self-Learning Control of Finite Markov Chains, 2018
semanticscholar   +3 more sources

A novel sequential three-way decisions model based on penalty function

Knowledge-Based Systems, 2020
In the sequential three-way decisions (S3WD) model, classification accuracy is an important issue. Based on the idea of minimum misclassification, loss functions have been used to calculate the thresholds.
Qinghua Zhang, G. Pang, Guoyin Wang
semanticscholar   +1 more source

Penalty Function Method

Ideas of Quantum Chemistry, 2020
openaire   +2 more sources

A class of smooth exact penalty function methods for optimization problems with orthogonality constraints

Optim. Methods Softw., 2020
Updating the augmented Lagrangian multiplier by closed-form expression yields efficient first-order infeasible approach for optimization problems with orthogonality constraints.
Nachuan Xiao, Xin Liu, Ya-xiang Yuan
semanticscholar   +1 more source