Human-Computer Interaction: Ergonomics and User Interfaces - Vol. 1

By Hans-Jörg Bullinger; Jürgen Ziegler | Go to book overview
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The chromosomes of an individual in the intial generation is created from union of the direct products of the above coding schemes:

{random,uniform}Level 2{random,uniform}Level 1{randam,uniform} Level 0 {biased} Level 2{biased} Level 1{random, uniform,biased} Level 0

The 35 fittest individuals in terms of dp are chosen as elites to remain the the next generation. Additional individuals are created by applying crossover and mutation on the elites. Moreover, inorder to avoid stagnation by incest, 20 individuals coded totally randomly were added. The same operation is repeated for the successive generations until no forther improvement in dp is expected.

Results and concluding remarks

To obtain baseline information, we first performed blind search using 1,000 individuals created by total ly random coding. The best dp in 10 independent trials was only 0.157. In contrast, the aforementioed GA started with only 400 individuals produced more than one elites with dp above 0.200 only in three generations. Although the 20% improvement is not highly striking, efficiencies in time and in the size of individuals involed are ceratainly appreciatialbe.


Gärdenfors, P., & Sahlin, N-E. ( 1983). Decison making with unreliable probabilites. British Journal of Mathematical and Statistical Psychology, 36, 240-251.

Matsuda, N. ( 1997). Kansei Information Design. Tokyo: Ohm.

Matsuda, N. ( 1999). Iterative use of flexible AHP as an aid to impression crystalization and decision making. In Osawa, M. (Ed.) Toward Iimpression Engineering. Tokyo: Maruzen Planets.

Saaty, T. L. ( 1980). The Analytic Hierarchical Process. New York: McGrawHill.

Corrspond to: Prof. MATSUDA, Noriyuki Inst. of Policy & Planning Sciences, Univ. of Tsukuba 1-1-1 Tennou-dai, Tsukuba, Ibaraki 305-8573, Japan email:


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