Results 71 to 80 of about 3,951,381 (154)

Cutting_Edge Hybrid Algorithms: Pelican Optimization Leveraging Conjugate Gradient and Osprey Techniques

Samarra Journal of Pure and Applied Science
This study investigates the performance improvement method of Pelican Optimization Algorithm (POA) through two different methods, namely Conjugate Gradient (CG) and Osprey Optimization Algorithm (OOA). The (POA) algorithm is a super-intuitive algorithm that has the ability to solve complex optimization problems.
Azhar Zaki Abdullah, Ban Ahmed Mitras
openaire   +1 more source

Optimal Power Flow Incorporating Renewable Energy Sources and FACTS Devices: A Chaos Game Optimization Approach

IEEE Access
This study addresses the optimal power flow (OPF) problem incorporating renewable energy sources (RES) and flexible alternating current transmission systems (FACTS) using the Chaos Game Optimization (CGO) algorithm.
Amal Amin Mohamed, Salah Kamel, Mohamed H. Hassan, Jose Luis Dominguez-Garcia   +3 more
doaj   +1 more source

Power Quality Improvement through Harmonic Filters Using Tasmanian Devil Optimization Algorithm

ITEGAM-JETIA
To enhance power quality (PQ) through active power filters (APF) in radial distribution systems (RDS), this study investigates the application of the Tasmanian Devil Optimization (TDO) and Osprey Optimization Algorithm (OOA). Despite their benefits, the
Ashokkumar Parmar, Mehul Dansinh Solanki, Jaydeepsinh Sarvaiya, Divyesh Keraliya, Ashokkumar Lakum, Maqbul Ghanchi   +5 more
doaj   +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  

An Optimized Method for Setting Relay Protection in Distributed PV Distribution Networks Based on an Improved Osprey Algorithm

Energies
The high penetration of distributed photovoltaics (PV) into distribution networks alters the system’s short-circuit current characteristics, posing risks of maloperation and failure-to-operate to conventional inverse-time overcurrent protection. Based on
Zhongduo Chen, Kai Gan, Tianyi Li, Weixing Ruan, Miaofeng Ye, Qingzhuo Xu, Jiaqi Pan, Yourong Li, Cheng Liu   +8 more
doaj   +1 more source

Cooperative Bacterial Foraging Algorithm for Global Optimization

, 2009
Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. However, the original BFO algorithm possesses a poor convergence behavior compared to the other successful nature-inspired ...
Chen HN(陈瀚宁), Zhu YL(朱云龙), Hanning Chen, Yunlong Zhu, Hu KY(胡琨元), Kunyuan Hu   +5 more
core   +1 more source

An Improved Dung Beetle Optimization Algorithm for High-Dimension Optimization and Its Engineering Applications

One of the limitations of the dung beetle optimization (DBO) is its susceptibility to local optima and its relatively low search accuracy. Several strategies have been utilized to improve the diversity, search precision, and outcomes of the DBO. However,
Xu Wang, Qingyi Chen, Yong Shen, Hongwei Kang, Xingping Sun   +4 more
core   +1 more source

Net Algorithm Optimization, Proceedingss of Belarusian Engineering Academy

In the paper methods for optimization of net algorithms describing concurrent processes are proposed. The depth of concurrency is modeled by the set of parallel statement pairs.
Solomennik, M., Prihozhy, A., Mattavelli, M., Mlynek, D.   +3 more
core  

A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection [PDF]

We address the multi-period portfolio optimization problem with the constant rebalancing strategy. This problem is formulated as a polynomial optimization problem (POP) by using a mean-variance criterion.
Sotirov, R., Takano, Y.
core  

Robust Portfolio Optimization with a Hybrid Heuristic Algorithm [PDF]

Estimation errors in both the expected returns and the covariance matrix hamper the constructing of reliable portfolios within the Markowitz framework. Robust techniques that incorporate the uncertainty about the unknown parameters are suggested in the ...
Peter Winker, Björn Fastrich
core