UIST: Proceedings of the ACM Symposium on User Interface Software and Technology, Volume 14,Parte 2001Association for Computing Machinery, 2001 |
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... optimization problem ( 5 ) , this algorithm exploits numerical nonlinear optimization . The aim is to search for local optimal solutions since ordinary numerical optimiza- tion techniques cannot always find global optimal solutions . An ...
... optimization problem ( 5 ) , this algorithm exploits numerical nonlinear optimization . The aim is to search for local optimal solutions since ordinary numerical optimiza- tion techniques cannot always find global optimal solutions . An ...
Página 95
... optimization tech- niques suffering from local optimal solutions , we adopt a ge- netic algorithm [ 11 , 17 ] that searches for global optimal so- lutions . Generally , a genetic algorithm is a stochastic search method that repeatedly ...
... optimization tech- niques suffering from local optimal solutions , we adopt a ge- netic algorithm [ 11 , 17 ] that searches for global optimal so- lutions . Generally , a genetic algorithm is a stochastic search method that repeatedly ...
Página 96
... optimization . With these modularizations , the constraint solver is struc- tured as depicted in Figure 2. Object solver , the main body of the solver , contains multiple evaluation modules and a single optimization module optimizer ...
... optimization . With these modularizations , the constraint solver is struc- tured as depicted in Figure 2. Object solver , the main body of the solver , contains multiple evaluation modules and a single optimization module optimizer ...
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Dynamic Coupling of Displays | 11 |
Off the Wall | 21 |
Information Visualization | 40 |
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