Load curves of residential and IT sector loads with CS algorithm based DSM. by Manoj Kumar V. (18196645)

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Parameters of the test function. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Performance metrics of function mining experiment. by Jin Ding (11522)

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Parameters setting of function mining experiment. by Jin Ding (11522)

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Convergence curve of each DSM algorithms. by Manoj Kumar V. (18196645)

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Summarized load characteristics of each algorithm. by Manoj Kumar V. (18196645)

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Genetic algorithm flowchart. by Junjie He (700642)

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Functional enrichment of 17 gene clusters identified in down-regulated drought tolerant network (dDTN) using MCL algorithm. by Sanchari Sircar (198485)

Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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Compare the test functions. by Yanqiu Li (683621)

Distribution of total lung capacity (TLC) in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

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Characteristics of patients identified by the ILD-algorithm. by Erica Farrand (14774297)

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ILD diagnoses identified by the ILD algorithm. by Erica Farrand (14774297)

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Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

The final population of the optimization algorithm based on the two goals of accuracy and diversity. by Kaveh Faraji Googerdchi (18778727)

Improved NSGA-II algorithm flowchart. by Ying Wang (11406)

“…<div><p>To address the issue of insufficiently comprehensive representation of service composition indexes in the shared manufacturing environment, service reliability, confidence, and other indexes are decomposed in detail to establish a composition evaluation system, and a shared manufacturing service composition optimization model based on bi-level programming is proposed. The model takes Quality of Service (QoS) as the upper objective function and service reliability, service confidence and task fit as the lower objective function. …”

Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Scheduling time of five algorithms. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”