File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/CEC.2015.7257289
- Scopus: eid_2-s2.0-84963575190
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Parameter sensitivity analysis of social spider algorithm
Title | Parameter sensitivity analysis of social spider algorithm |
---|---|
Authors | |
Keywords | Social spider algorithm Global optimization Parameter sensitivity analysis Evolutionary computation Meta-heuristic |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 |
Citation | The 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 25-28 May 2015. In Conference Proceedings, 2015, p. 3200-3205 How to Cite? |
Abstract | Social Spider Algorithm (SSA) is a recently proposed general-purpose real-parameter metaheuristic designed to solve global numerical optimization problems. This work systematically benchmarks SSA on a suite of 11 functions with different control parameters. We conduct parameter sensitivity analysis of SSA using advanced non-parametric statistical tests to generate statistically significant conclusion on the best performing parameter settings. The conclusion can be adopted in future work to reduce the effort in parameter tuning. In addition, we perform a success rate test to reveal the impact of the control parameters on the convergence speed of the algorithm. |
Persistent Identifier | http://hdl.handle.net/10722/218960 |
ISBN |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, JJ | - |
dc.contributor.author | Li, VOK | - |
dc.date.accessioned | 2015-09-18T07:02:16Z | - |
dc.date.available | 2015-09-18T07:02:16Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 25-28 May 2015. In Conference Proceedings, 2015, p. 3200-3205 | - |
dc.identifier.isbn | 978-1-4799-7492-4 | - |
dc.identifier.uri | http://hdl.handle.net/10722/218960 | - |
dc.description.abstract | Social Spider Algorithm (SSA) is a recently proposed general-purpose real-parameter metaheuristic designed to solve global numerical optimization problems. This work systematically benchmarks SSA on a suite of 11 functions with different control parameters. We conduct parameter sensitivity analysis of SSA using advanced non-parametric statistical tests to generate statistically significant conclusion on the best performing parameter settings. The conclusion can be adopted in future work to reduce the effort in parameter tuning. In addition, we perform a success rate test to reveal the impact of the control parameters on the convergence speed of the algorithm. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284 | - |
dc.relation.ispartof | Congress on Evolutionary Computation (CEC) | - |
dc.rights | Congress on Evolutionary Computation (CEC). Copyright © IEEE. | - |
dc.rights | ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Social spider algorithm | - |
dc.subject | Global optimization | - |
dc.subject | Parameter sensitivity analysis | - |
dc.subject | Evolutionary computation | - |
dc.subject | Meta-heuristic | - |
dc.title | Parameter sensitivity analysis of social spider algorithm | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Yu, JJ: jqyu@eee.hku.hk | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1109/CEC.2015.7257289 | - |
dc.identifier.scopus | eid_2-s2.0-84963575190 | - |
dc.identifier.hkuros | 254294 | - |
dc.identifier.spage | 3200 | - |
dc.identifier.epage | 3205 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151119 | - |