• No results found

Using Opposition-based Learning with Particle Swarm Optimization and Barebones Differential Evolution

N/A
N/A
Protected

Academic year: 2021

Share "Using Opposition-based Learning with Particle Swarm Optimization and Barebones Differential Evolution"

Copied!
15
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1 summarizes the results obtained by applying the two PSO approaches to the  benchmark functions
Table 2. Mean and standard deviation (±SD) of the function optimization results
Figure 1. Performance Comparison of PSO and iPSO when applied to selected functions  7
Figure 2. Performance Comparison of BBDE and iBBDE when applied to selected functions  8

References

Related documents

The Soft Surface Structured play areas of LL’s, which include swings, monkey bars, play equipment and play fields, increased physical activity significantly with both boys and

Soil microbes are very essential in the improvement of soil quality, health and productivity as they assume active roles in decomposition of soil organic

In order to enable an object-view based analysis of workflow instances during the development of our process information system PISA (which is described in detail in section 5

Two separate cases are studied: In the first setting, which we will refer to as oscillatory regime, the gamma network behaves as an intrinsic oscillator whose spike frequency

Rosenberg Self-esteem Scale means of participants who spend more time on Facebook than the mean of the sample, divided by sel Þ e-taking habits. Regarding the topic of the

Since fatty acid composition of follicular fluid phospholipids is influenced by nutrition and individual metabolic condition, it is counted as an important index for the study of

Based on their review of the literature, one can conclude that university students are not fully aware of forms of plagiarism as cheating, stealing and dishonest acts;