Thermal and Economical Optimization of a Shell and Tube Evaporator Using Hybrid Backtracking Search—Sine–Cosine Algorithm
作者: Oguz Emrah Turgut
作者单位: 1Ege University
刊名: Arabian Journal for Science and Engineering, 2017, Vol.42 (5), pp.2105-2123
来源数据库: Springer Nature Journal
DOI: 10.1007/s13369-017-2458-6
关键词: Backtracking searchMetaheuristicsNumerical modelingShell and tube evaporator
原始语种摘要: This paper proposes a hybrid optimization algorithm based on the combination of the merits of the backtracking search (BSA) and sine–cosine algorithm (SCA) to achieve the optimal design of a shell and tube evaporator. To the author’s best knowledge, this is the first application of the metaheuristic algorithms over shell and tube evaporator design problems. In order to test the accuracy of the proposed hybrid algorithm, 10 well-known optimization test functions have been solved. Numerical results obtained from the hybrid BSA–SCA have been compared with the literature optimizers including differential search, big bang–big crunch optimization, quantum-behaved particle swarm optimization, bat algorithm, intelligent tuned harmony search algorithm, and backtracking search algorithm. Comparison...
全文获取路径: Springer Nature  (合作)

  • algorithm 算法
  • optimal 最佳的
  • Shell 护罩
  • harmony 
  • optimization 最佳化
  • backtracking 回溯
  • design 设计
  • decision 决定
  • shell 贝壳
  • search 搜索