Research on a Heuristic GA-Based Decision Support System for Rice in Heilongjiang Province
As we know rice is the main food in China. In recent years, the rapid development of agricultural decision support system provides new management methods for rice production. GA has been regarded as an effective analytic tool and stochastic search technique to solve large and complicated problems. How-ever, traditional GA-based decision support system does not always result in good solutions and search efficiency due to random method. This study presents a heuristic genetic algorithm-based decision support system to search the opti-mal solution. Heuristic method provides a robust and efficient approach for solving complex real-world problems. This hybrid algorithm incorporates concepts from GA and heuristic method and creates individuals in a new gen-eration not only by crossover and mutation operations as found in GA but also by heuristic mechanism. The result of experiments reveals the proposed algo-rithm is more computationally effective and efficient than GA alone in terms of solution quality.
Decision support system Genetic algorithms Heuristic method
Ran Cao Yushu Yang Wei Guo
Engineering college of Northeast Agricultural University, Haerbin, China
国际会议
南昌
英文
322-328
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）