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Articles by Haichang Gao
Total Records ( 2 ) for Haichang Gao
  Haichang Gao and Xiyang Liu
  Flow shop sequencing is one of the most well-known production scheduling problems and a typical NP-hard combinatorial optimization problem with strong engineering background. To efficiently deal with permutation flow shop sequencing problems, a novel algorithm, Artificial Immune Algorithm (AIA) is proposed which is inspired by the immune system of human to simulate the process of the interaction between antigens, antibodies and memory cells. The algorithm is tested on some benchmarks. Experimental results show AIA is quite flexible with satisfactory results and require fewer running time than Genetic Algorithms and Simulated Annealing.
  Haichang Gao , Boqin Feng , Yun Hou , Bin Guo and Li Zhu
  A hybrid adaptive SAGA based on mutative scale chaos optimization strategy (CASAGA) is proposed to solve the slow convergence, incident getting into local optimum characteristics of the Standard Genetic Algorithm (SGA). The algorithm combined the parallel searching structure of Genetic Algorithm (GA) with the probabilistic jumping property of Simulated Annealing (SA), also used adaptive crossover and mutation operators. The mutative scale Chaos optimization strategy was used to accelerate the optimum seeking. Compared with SGA and MSCGA on some complex function optimization and several TSP combination optimization problems, the CASAGA improved the global convergence ability and enhanced the capability of breaking away from local optimal solution.
 
 
 
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