A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. حسب Nicholas A. Rondoni (21573261)

CEC2019 benchmark functions. حسب Guangwei Liu (181992)

"…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …"

Standard functions to test. حسب Kemal Gökhan Nalbant (18858009)

Flowchart of DAPF-RRT algorithm. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

Performance comparison of different algorithms. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases حسب Maru Song (22593561)

"…Crucially, we propose fitness functions based on approximate measures of the wave function compactness, which enable inexpensive genetic algorithm searches. …"

Function convergence curve. حسب Guilin Yang (583364)

"…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …"

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Algorithm parameters. حسب Guilin Yang (583364)

"…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …"

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Verification of the in-line PS function. حسب Raul Castañeda (13932971)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

"…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …"

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

"…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …"

Improved A* algorithm flowchart. حسب Peiying Li (797714)

"…Specifically, A-star is optimized by evaluation function, sub node selection mode and path smoothness, and fuzzy control is introduced to optimize the sliding window algorithm. …"

Eight commonly used benchmark functions. حسب Guangwei Liu (181992)

"…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …"

Convergence graphs of CEC2021 test functions. حسب Yu Liu (6938)

"…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …"

Algorithm parameters. حسب Ruyi Dong (9038174)

"…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …"

Algorithm parameter setting. حسب Tianrui Zhang (2294542)

"…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"