Results 81 to 90 of about 853,756 (250)

Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys

Materials Genome Engineering Advances, EarlyView.
A knowledge‐constrained multi‐objective reinforcement learning (MORL) framework is proposed, embedding cracking susceptibility as a hard constraint to simultaneously optimize printability and mechanical properties of additively manufactured superalloys.
Pei Liu, Xueting Ren, Shibo Wei, Shuai Guan, Guohao Liu, Teng An, Haiyou Huang, Zhongnan Bi   +7 more
wiley   +1 more source

Differential Evolution for Multiobjective Portfolio Optimization [PDF]

Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Thiemo Krink, Sandra Paterlini
core  

Optimization of Risk and Return Using Fuzzy Multiobjective Linear Programming

Advances in Fuzzy Systems, 2018
Stock selection poses a challenge for both the investor and the finance researcher. In this paper, a hybrid approach is proposed for asset allocation, offering a combination of several methodologies for portfolio selection, such as investor topology ...
Darsha Panwar, Manoj Jha, Namita Srivastava   +2 more
doaj   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang, Yuxin Lin, Mingyang Luo, Zhanghong Zeng   +3 more
wiley   +1 more source

Continuous-Time Multiobjective Optimization Problems via Invexity

Abstract and Applied Analysis, 2007
We introduce some concepts of generalized invexity for the continuous-time multiobjective programming problems, namely, the concepts of Karush-Kuhn-Tucker invexity and Karush-Kuhn-Tucker pseudoinvexity.
Valeriano A. De Oliveira, Marko A. Rojas-Medar   +1 more
doaj   +1 more source

Integrating Fuzzy Multiobjective Programming and System Dynamics to Develop an Approach for Talent Retention Policy Selection: Case on Health-Care Industry. [PDF]

J Healthc Eng, 2023
Lo CL, Hu YH.
europepmc   +1 more source

Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework

Sustainable Development, EarlyView.
ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley   +1 more source

Mixed Type Duality in Multiobjective Programming Problems [PDF]

, 1996
Two mixed type duals are introduced for multiobjective programming and for multiobjective fractional programming, respectively. Results about weak duality, strong duality, and strictly reverse duality are presented under more suitable ...
Xu, Zengkun
core   +1 more source

Multiobjective optimization using surrogates

, 2006
Until recently, optimization was regarded as a discipline of rather theoretical interest, with limited real-life applicability due to the comutational or experimental expense involved.
Keane, A.J., Voutchkov, I.
core   +1 more source

Multiobjective Evolutionary Topology Optimization Algorithm Using Quadtree Encoding

IEEE Access
A multiobjective high-degree-of-freedom design optimization algorithm that enables topological changes in design is proposed for multiobjective aerodynamic design optimization. In this method, a design is encoded using a regional quadtree, which is often
Naruhiko Nimura, Akira Oyama
doaj   +1 more source