Suchergebnisse - nondifferentiable and nonconvex multi-objective programming (problem* OR problemys*)

A refined proximal algorithm for nonconvex multiobjective optimization in Hilbert spaces.

Autoren: Bento, G. C. Cruz Neto, J. X. Lopes, J. O. et al.

Quelle: Journal of Global Optimization; May2025, Vol. 92 Issue 1, p187-203, 17p

Schlagwörter: MULTI-objective optimization, COMPUTATIONAL mathematics, MATHEMATICAL programming, HILBERT space, MATHEMATICAL functions

An Application of Infinite Programming on Desirability Functions.

Autoren: Öztürk, Başak Akteke

Quelle: Journal of Mathematical Sciences & Modelling; Dec2023, Vol. 6 Issue 3, p97-104, 8p

Schlagwörter: MULTI-objective optimization, GENETIC algorithms, PROBLEM solving, COMPUTER programming, PRODUCT quality, NOMADS, RESPONSE surfaces (Statistics), TAGUCHI methods

Reviews & Products: MATLAB (Computer software)

Solving Convex Multi-Objective Optimization Problems via a Capable Neural Network Scheme.

Autoren: Jahangiri, Mohammadreza Nazemi, Alireza

Quelle: International Journal of Computational Intelligence & Applications; Dec2024, Vol. 23 Issue 4, p1-23, 23p

Schlagwörter: CONVEX programming, PARETO optimum, COMPUTER simulation

A new class of generalized convex functions and mathematical programming.

Autoren: Abdulaleem, Najeeb Lalmalsawma, Solomon Singh, Vinay

Quelle: International Journal of Nonlinear Analysis & Applications; May2025, Vol. 16 Issue 5, p153-164, 12p

Schlagwörter: CONVEX functions, MATHEMATICAL programming, MATHEMATICAL equivalence, NONLINEAR analysis, NONLINEAR operators, INFORMATION & communication technologies

Optimality and duality in nondifferentiable minimax programming problems involving ϵ-quasi solutions.

Autoren: Van Su, Tran

Quelle: Positivity; Nov2024, Vol. 28 Issue 5, p1-32, 32p

Lagrange duality and saddle point criteria for semi-infinite variational programming problem with Caputo-Fabrizio fractional derivative.

Autoren: Jayswal, Anurag Uniyal, Gaurav

Quelle: Journal of Applied Mathematics & Computing; Aug2025, Vol. 71 Issue 4, p5955-5975, 21p

A Heteroscedastic Robust Bayesian Optimization Method for Solving Simulation-Based Transportation Problems.

Autoren: Huo, Jinbiao Gu, Ziyuan Liu, Zhiyuan et al.

Quelle: Transportation Science; Nov/Dec2025, Vol. 59 Issue 6, p1353-1374, 22p

Schlagwörter: HETEROSCEDASTICITY, ROBUST optimization, STOCHASTIC processes, STOCHASTIC programming, RESOURCE allocation, GAUSSIAN processes, TRANSPORTATION industry

Consensus-Based Algorithms for Stochastic Optimization Problems.

Autoren: Bonandin, Sabrina Herty, Michael

Quelle: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2572-2598, 27p

Schlagwörter: OPTIMIZATION algorithms, PARTICLE swarm optimization, COST functions, MEAN field theory, COMPUTER simulation, STOCHASTIC processes, STOCHASTIC programming

Optimality conditions and sensitivity analysis in parametric nonconvex minimax programming.

Autoren: An, D. T. V. Hung, N. H. Ngoan, D. T. et al.

Quelle: Journal of Global Optimization; Sep2024, Vol. 90 Issue 1, p53-72, 20p

Schlagwörter: NONCONVEX programming, SUBDIFFERENTIALS, SENSITIVITY analysis

OPTIMALITY CONDITIONS FOR AN INTERVAL-VALUED VECTOR PROBLEM.

Autoren: PRASAD, ASHISH KUMAR KHATRI, JULIE AHMAD, IZHAR

Quelle: Kybernetika; 2025, Vol. 61 Issue 2, p221-237, 17p

Schlagwörter: MULTI-objective optimization, CONVEX sets, NONSMOOTH optimization

MultiSQP-GS: a sequential quadratic programming algorithm via gradient sampling for nonsmooth constrained multiobjective optimization.

Autoren: Rashidi, Mehri Soleimani-damaneh, Majid

Quelle: Computational Optimization & Applications; Dec2024, Vol. 89 Issue 3, p729-767, 39p

Schlagwörter: QUADRATIC programming, NONCONVEX programming, ALGORITHMS, NONSMOOTH optimization

Nonconvex optimization of desirability functions.

Autoren: Akteke-Ozturk, Basak Koksal, Gulser Weber, Gerhard Wilhelm

Quelle: Quality Engineering; Apr-Jun2018, Vol. 30 Issue 2, p293-310, 18p

Schlagwörter: NONCONVEX programming, MATHEMATICAL programming, GLOBAL optimization, MATHEMATICAL optimization, METAHEURISTIC algorithms

Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction.

Autoren: Royset, Johannes O.

Quelle: Set-Valued & Variational Analysis; Jun2025, Vol. 33 Issue 2, p1-26, 26p

On Nondifferentiable and Nonconvex Vector Optimization Problems: On nondifferentiable and nonconvex vector optimization problems

Autoren: Jen-Chih Yao Qamrul Hasan Ansari

Quelle: Journal of Optimization Theory and Applications. 106:475-488

Schlagwörter: generalized solutions, fixed points, vector optimization problems, 0101 mathematics, subinvex functions, variational-like inequalities, h-subdifferential, 01 natural sciences, Multi-objective and goal programming

Dateibeschreibung: application/xml

Zugangs-URL: http://faculty.kfupm.edu.sa/math/qhansari/papers(PDF)(PS)/JOTA106(3)(2000)475-488.pdf
https://link.springer.com/article/10.1023/A%3A1004697127040
https://ideas.repec.org/a/spr/joptap/v106y2000i3d10.1023_a1004697127040.html

EXACT L1 PENALTY FUNCTION FOR NONSMOOTH MULTIOBJECTIVE INTERVAL-VALUED PROBLEMS.

Autoren: KHATRI, JULIE PRASAD, ASHISH KUMAR

Quelle: Kybernetika; 2024, Vol. 60 Issue 5, p652-681, 30p

Schlagwörter: MULTI-objective optimization, FORECASTING

Exact l1 exponential penalty approach for interval-valued mathematical problems.

Autoren: Khatri, Julie Phaneendra, T.

Quelle: OPSEARCH; Dec2025, Vol. 62 Issue 4, p2110-2137, 28p

A class of infeasible proximal bundle methods for nonsmooth nonconvex multi-objective optimization problems.

Autoren: Pang, Li-Ping Meng, Fan-Yun Yang, Jian-Song

Quelle: Journal of Global Optimization; Apr2023, Vol. 85 Issue 4, p891-915, 25p

Schlagwörter: NONSMOOTH optimization

Logarithmic penalty function method for invex multi-objective fractional programming problems.

Autoren: Hassan, Mansur Baharum, Adam Ali, Majid Khan Majahar

Quelle: Journal of Taibah University for Science; Jan-Dec2020, Vol. 14 Issue 1, p211-216, 6p

Fractional semi-infinite programming problems: optimality conditions and duality via tangential subdifferentials.

Autoren: Tripathi, Indira P. Arora, Mahamadsohil A.

Quelle: Computational & Applied Mathematics; Sep2024, Vol. 43 Issue 6, p1-25, 25p

(Φ, ρ)-Invexity in Nonsmooth Optimization.

Autoren: Antczak, Tadeusz Stasiak, Aleksandra

Quelle: Numerical Functional Analysis & Optimization; Jan2011, Vol. 32 Issue 1, p1-25, 25p

Schlagwörter: NONSMOOTH optimization, NONCONVEX programming, NONDIFFERENTIABLE functions, LIPSCHITZ spaces, CONVEX functions, MATHEMATICAL programming, PROBLEM solving