Suchergebnisse - "Dynamic constrained multi-objective optimization problems"
-
1
A Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems
ISSN: 1089-778X, 1941-0026Veröffentlicht: IEEE 2025Veröffentlicht in IEEE transactions on evolutionary computation (2025)“… Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints …”
Volltext
Journal Article -
2
Penalty and prediction methods for dynamic constrained multi-objective optimization
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.07.2023Veröffentlicht in Swarm and evolutionary computation (01.07.2023)“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objective functions and constraints that vary over time, requiring optimization algorithms to track the changing Pareto optimal set (POS) quickly …”
Volltext
Journal Article -
3
A novel particle swarm optimization algorithm with local search for dynamic constrained multi-objective optimization problems
ISBN: 1479904538, 9781479904532ISSN: 1089-778XVeröffentlicht: IEEE 01.06.2013Veröffentlicht in 2013 IEEE Congress on Evolutionary Computation (01.06.2013)“… In the real world, many optimization problems are dynamic constrained multi-objective optimization problems …”
Volltext
Tagungsbericht -
4
Hyper rectangle search based particle swarm algorithm for dynamic constrained multi-objective optimization problems
ISBN: 1467315109, 9781467315104ISSN: 1089-778XVeröffentlicht: IEEE 01.06.2012Veröffentlicht in 2012 IEEE Congress on Evolutionary Computation (01.06.2012)“… In the real world, many optimization problems are dynamic constrained multi-objective optimization problems …”
Volltext
Tagungsbericht -
5
Feasibility-guided momentum prediction for dynamic constrained multi-objective optimization
ISSN: 0957-4174Veröffentlicht: Elsevier Ltd 01.03.2026Veröffentlicht in Expert systems with applications (01.03.2026)“… •Extensive experiments show superior performance in convergence and adaptability. Dynamic constrained multi-objective optimization problems (DCMOPs …”
Volltext
Journal Article -
6
A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism
ISSN: 0957-4174Veröffentlicht: Elsevier Ltd 01.02.2026Veröffentlicht in Expert systems with applications (01.02.2026)“… The design of evolutionary algorithms for dynamic constrained multi-objective optimization problems is a significant research area, driven by the need for real-time adaptive solutions in complex real-world systems …”
Volltext
Journal Article -
7
Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement
ISSN: 2210-6502Veröffentlicht: Elsevier B.V 01.08.2024Veröffentlicht in Swarm and evolutionary computation (01.08.2024)“… Dynamic constrained multi-objective optimization problems (DCMOPs) involve objectives, constraints, and parameters that change over time …”
Volltext
Journal Article -
8
Dynamic constraints and optimization problem for cooperative search-track mission planning
ISSN: 2640-7736Veröffentlicht: IEEE 15.12.2021Veröffentlicht in Proceedings of the IEEE Radar Conference (15.12.2021)“… Multi-objective Optimization Problems (DCMOPs).The objective functions and constraints are time-dependent and changing number …”
Volltext
Tagungsbericht -
9
Dynamic Constrained Multi-Objective Evolutionary Optimization via Adaptive Two-Stage Archiving and Autoencoder Prediction
Veröffentlicht: IEEE 22.09.2023Veröffentlicht in 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) (22.09.2023)“… Dynamic constrained multi-objective optimization problems (DCMOPs) are characterized by time-varying objectives and constraints, requiring optimization algorithms that can rapidly track the changing Pareto-Optimal Set (POS …”
Volltext
Tagungsbericht -
10
A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system
ISSN: 0020-0255Veröffentlicht: Elsevier Inc 01.10.2024Veröffentlicht in Information sciences (01.10.2024)“… The integrated coal mine energy system (ICMES) is a kind of system with multiple scenarios, variables and parameters, which belongs to dynamic constrained multi-objective optimization problem (DCMOP …”
Volltext
Journal Article -
11
Dynamic constrained multi-objective model for solving constrained optimization problem
ISBN: 1424478340, 9781424478347ISSN: 1089-778XVeröffentlicht: IEEE 01.06.2011Veröffentlicht in 2011 IEEE Congress of Evolutionary Computation (CEC) (01.06.2011)“… Constrained optimization problem (COP) is skillfully converted into dynamic constrained multi-objective optimization problem (DCMOP) in this paper …”
Volltext
Tagungsbericht -
12
Constrained optimization problem solved by dynamic constrained NSGA-III multiobjective optimizational techniques
ISSN: 1089-778XVeröffentlicht: IEEE 01.05.2015Veröffentlicht in IEEE transactions on evolutionary computation (01.05.2015)“… ). The methodology first constructs a dynamic constrained multi-objective optimization problem (DCMOP) equivalent to the COP by converting the constraints into some violation …”
Volltext
Tagungsbericht -
13
Leveraging evolutionary algorithms for dynamic multi-objective optimization scheduling of multi-tenant smart home appliances
Veröffentlicht: IEEE 01.07.2016Veröffentlicht in 2016 IEEE Congress on Evolutionary Computation (CEC) (01.07.2016)“… (energy price, budget, user preferences, energy source, etc). To address this challenge, this paper has modeled appliances scheduling as a dynamic constrained multi …”
Volltext
Tagungsbericht -
14
Antenna design using dynamic multi-objective evolutionary algorithm
ISSN: 1751-8725, 1751-8733Veröffentlicht: The Institution of Engineering and Technology 31.10.2018Veröffentlicht in IET microwaves, antennas & propagation (31.10.2018)“… ). Then a framework is introduced for solving the COP. The framework converts a COP into an equivalent dynamic constrained multi-objective optimisation problem (DCMOP …”
Volltext
Journal Article

