Aiming at the slow convergence problem of clonal selection algorithm, this paper proposes an adaptive parallel immune algorithm with orthomutation (APIA).
针对克隆选择算法收敛速度较慢的问题，对算法策略进行研究，提出了一种基于定向突变的自适应并行免疫算法（APIA）。
By adopting adaptive parallel search strategy with orthomutation operator in the memory base, the APIA can strength the ability of local directed search and jump out of local optimization.
该算法采用自适应并行搜索策略，在记忆库中引入定向突变算子，增强算法的局部定向搜索能力，并改善算法早熟的问题。
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