A novel approach for global optimization in science and engineering

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 718

فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

REGCMAES02_093

تاریخ نمایه سازی: 30 دی 1394

چکیده مقاله:

This paper presents the interior search algorithm(ISA) as a novel method for solving optimization tasks. The proposed ISA is inspired by interior design and decoration. The algorithm is different from other meta heuristic algorithms and provides new insight for global optimization. The proposed method is verified using some benchmark mathematical and engineering problems commonly used in the area of optimization. ISA results are furthercompared with well-known optimization algorithms. The results show that the ISA is efficiently capable of solving optimization problems. The proposed algorithm can outperform the other well-known algorithms. Further, the proposed algorithm is very simple and it only has one parameter to tune.

نویسندگان

Marjan Aliyari

Faculty member of School of Mathematics, Ayatollah Borujerdi University, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Akhtar S, TaiK, RayT. Aso cio-behaviorl simulation model for engineering ...
  • Ali MM, Kho mpatraporn C, Zabinsky ZB. An umerical evaluation ...
  • AragonVS , Esquive lSC, Coello Coello CA. A modified version ...
  • Barbosa HJC, Lemonge ACC. An adaptive penalty scheme in genetic ...
  • Becerra RL, Coello Coello CA. Cultured differential evolution for constrained ...
  • Bernardino, HS, Barbosa, HJC, Lemonge, ACC. A hybrid genetic algorithm ...
  • Bernardino HS, Barbosa HJC, Lemonge ACC, Fonseca LG. A new ...
  • Sahab MG, Toropov VV, Gandomi AH Traditional and modern structural ...
  • Canyurt OE, Hajela P. Cellular genetic algorithm technique for the ...
  • Talbi EG. Metaheuristic, from design to imp lementation. Hoboken, NJ, ...
  • Storn R , Price KV. Differential evolution-a simple and efficient ...
  • Yizge; U, Tiiker M, Hocalar A. On-line evolutionary optimization of ...
  • Passino KM. Biomimicry of bacterial foraging for distributed optimization and ...
  • Deb K. Opt imaldesigno faweldedbe amviag enet icalgorithms .AIAAJ 1 ...
  • Deb K. An efficient constraint handling method for genetic algorithms. ...
  • NCIDQ2011. (http :/www.ncidq. org) RetrievedJan. 20, 20 1 1. ...
  • Dorigo M, Maniezzo V, Colorni A. Theantsystem: optimization by a ...
  • 9] Eberhart, RC, Kennedy, J. Anewo ptimizerus ingp art ic ...
  • co mput at io n(COMCEV2 00 8), CIMAT, Guanajuato, Mexico, ...
  • Gandomi AH, Yang XS, Talatahari S, DebS. Coupled eagle strategy ...
  • Gandomi AH, Yang XS. Evolutionary boundary constraint handling scheme. NeuralCo ...
  • Gandomi AH , A lavi AH. Krill Herd: a new ...
  • Gandomi AH, Yun GJ, Yang XS, Talatahari S. Chao s-enhanced ...
  • Geem ZW, Kim JH, Loganathan GV. A new heuristic optimization ...
  • He Q, WangL. An effective co -evolutionary particle Swarm optimization ...
  • Hedar A, Fukushima M. Derivative-fre filter simulated annealing method for ...
  • Holland J.Adaptation in natural and artificial systems. Ann Anbor: University ...
  • Huang FZ, Wang L, HeQ.An effective co -evolutionary differential evolution ...
  • Koza JR. Genetic programming: on the programming of computers by ...
  • Gandomi AH, Yang XS. Benchmark Problems in Structural Optimization. In: ...
  • نمایش کامل مراجع