| TH, publication_conference_work_name |
AN ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM USING PROBABILITY-BASED CONTROL PARAMETERS WITH THE ALTERNATING OF LEARNING AND UTILIZING PERIODS |
| TH, publication_conference_publish_date |
5 October 2020 |
| TH, publication_conference_conference |
| TH, publication_conference_conference_name |
The 46th International Congress on Science, Technology and Technology-based Innovation (STT46) "Power of Science to Achieve SDGs" |
| TH, publication_conference_conference_institute |
The Science Society of Thailand under the Patronage of His Majesty the King in Association with Faculty of Science, Ramkhamhaeng University |
| TH, publication_conference_conference_place |
Ramkhamhaeng University, Bangkok, Thailand |
| TH, publication_conference_conference_province |
Bangkok |
| TH, publication_conference_conference_from_date |
5 October 2020 |
| TH, publication_conference_conference_to_date |
7 October 2020 |
| TH, publication_conference_proceeding |
| TH, publication_conference_proceeding_volume_short |
2563 |
| TH, publication_conference_proceeding_issue_short |
46 |
| TH, publication_conference_proceeding_page_short |
250-259 |
| TH, publication_conference_proceeding_editor_short |
The Science Society of Thailand Under the Patronage of His Majesty the King Faculty of Science, Ramkhamhaeng University |
| TH, publication_conference_abstract |
In this research, we propose an adaptive differential evolution algorithm using probability-based control parameters with the alternating of learning and utilizing periods (ADEPC) for solving continuous optimization problems. The proposed method uses 3 values of scaling factor and 3 values of crossover rate with the adaptive and competitive probabilities based on the success of trial vectors in selection process. The probabilities are also controlled by the alternating of learning and utilizing periods. The ADEPC with the suitable learning and utilizing periods is tested and compared with some well-known adaptive differential evolution algorithms on several benchmark functions of different types and difficulties. The experimental results show that the ADEPC is effective and overall outperforms the compared methods. |
| TH, publication_article_writer |
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| TH, publication_conference_evaluation |
มีผู้ประเมินอิสระ |
| TH, publication_conference_level |
นานาชาติ |
| TH, publication_conference_proceeding_style |
Full paper |
| TH, publication_conference_presentation_style |
Oral |
| TH, publication_conference_part_of_thesis |
TH, publication_conference_part_of_thesis_true |
| TH, publication_conference_part_of_graduate |
TH, publication_conference_part_of_graduate_false |
| TH, publication_conference_is_reward |
TH, publication_conference_is_reward_false |
| TH, publication_attachment_file |
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| Citation |
0
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TH, publication_detail
TH, publication_article
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