enterprise 发表于 2025-3-23 11:27:12

G–Indicator: An M–Ary Quality Indicator for the Evaluation of Non–dominated Sets based on a few assumptions about the preferences of the decision maker. In order to evaluate the performance of our approach, we build several test cases considering different topologies of the Pareto front. The results are compared with those of another popular metric, the S–metric, showing equal or better performance.

etidronate 发表于 2025-3-23 17:42:08

http://reply.papertrans.cn/63/6202/620162/620162_12.png

Adrenal-Glands 发表于 2025-3-23 20:33:42

Handling Constraints in Particle Swarm Optimization Using a Small Population Sizeo state-of-the-art constraint-handling techniques. The number of fitness function evaluations that the proposed approach requires is almost the same (or lower) than the number required by the techniques of the state-of-the-art in the area.

木讷 发表于 2025-3-24 00:43:12

Conference proceedings 2007modeled human intellectual activity: reasoning, learning, seeing and speaking. Later similar methods were extended to super-complex optimization problems that appear in science, social life and industry. Many methods of Artificial Intelligence are borrowed from nature, where there occur similar supe

过于平凡 发表于 2025-3-24 05:06:36

http://reply.papertrans.cn/63/6202/620162/620162_15.png

松软 发表于 2025-3-24 07:57:49

http://reply.papertrans.cn/63/6202/620162/620162_16.png

轻信 发表于 2025-3-24 13:58:14

http://reply.papertrans.cn/63/6202/620162/620162_17.png

指令 发表于 2025-3-24 17:51:03

http://reply.papertrans.cn/63/6202/620162/620162_18.png

plasma 发表于 2025-3-24 21:22:34

Handling Constraints in Particle Swarm Optimization Using a Small Population Size). The proposed approach uses a reinitialization process for preserving diversity, and does not use a penalty function nor it requires feasible solutions in the initial population. The leader selection scheme adopted is based on the distance of a solution to the feasible region. In addition, a mutat

卧虎藏龙 发表于 2025-3-25 00:06:37

http://reply.papertrans.cn/63/6202/620162/620162_20.png
页: 1 [2] 3 4 5 6
查看完整版本: Titlebook: MICAI 2007: Advances in Artificial Intelligence; 6th Mexican Internat Alexander Gelbukh,Ángel Fernando Kuri Morales Conference proceedings