宁波大学学报（理工版）
寧波大學學報（理工版）
저파대학학보（리공판）
JOURNAL OF NINGBO UNIVERSITY(NSEE)
2013年
3期
57-61
,共5页
多目标优化%抗体浓度%克隆选择%无线传感器网络%覆盖
多目標優化%抗體濃度%剋隆選擇%無線傳感器網絡%覆蓋
다목표우화%항체농도%극륭선택%무선전감기망락%복개
multi-objective optimization%concentration%clonal selection principle%WSN%coverage
提出了基于抗体浓度的克隆选择多目标优化算法(CCSMOA)，该算法借鉴生物克隆选择的机理，针对算法克隆倍数选择的问题，将克隆倍数表示为抗体浓度的函数，并将抗体浓度与抗体－抗原的亲和力及抗体间的亲和度相关联，以此来寻找靠近真实 Pareto 前沿及分布均匀的解。通过与经典的 NSGA2、SPEA2以及当前的 NNIA 算法对比分析表明，在收敛性和分布性方面CCSMOA算法有所改善。最后将CCSMOA算法用于无线传感网络的覆盖优化。
提齣瞭基于抗體濃度的剋隆選擇多目標優化算法(CCSMOA)，該算法藉鑒生物剋隆選擇的機理，針對算法剋隆倍數選擇的問題，將剋隆倍數錶示為抗體濃度的函數，併將抗體濃度與抗體－抗原的親和力及抗體間的親和度相關聯，以此來尋找靠近真實 Pareto 前沿及分佈均勻的解。通過與經典的 NSGA2、SPEA2以及噹前的 NNIA 算法對比分析錶明，在收斂性和分佈性方麵CCSMOA算法有所改善。最後將CCSMOA算法用于無線傳感網絡的覆蓋優化。
제출료기우항체농도적극륭선택다목표우화산법(CCSMOA)，해산법차감생물극륭선택적궤리，침대산법극륭배수선택적문제，장극륭배수표시위항체농도적함수，병장항체농도여항체－항원적친화력급항체간적친화도상관련，이차래심조고근진실 Pareto 전연급분포균균적해。통과여경전적 NSGA2、SPEA2이급당전적 NNIA 산법대비분석표명，재수렴성화분포성방면CCSMOA산법유소개선。최후장CCSMOA산법용우무선전감망락적복개우화。
Antibodies concentration based multi-objective optimization algorithm (CCSMOA) which adopt the biological clonal selection is proposed. To tackle the problem of clone numbers, a new clone method is expressed as a function of antibodies concentration, the antibodies concentration is associated with the affinity of antibody-antigens and the affinity among antibodies. With this approach to search solutions which are close to the Pareto and evenly distributed, CCSMOA is compared with the classic algorithms NSGA2, SPEA2 and currently used algorithm NNIA. The results show that the convergence and the distribution are improved. Furthermore, the CCSMOA is applied to the optimization of coverage of the WSN, satisfactory results are also obtained.
