Sökning: "genetic algorithms"

Visar resultat 6 - 10 av 137 avhandlingar innehållade orden genetic algorithms.

1. 6. A Methodology for the Design of Cost Effective Hybrid Vehicles

   Författare :Jonas Hellgren; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; fuzzy logic; system engineering; model car; optimal design; evolutionary algorithms; hybrid electric vehicle; alternative powertrain; simulation; modeling; genetic algorithms; fuel cell vehicle; hybrid vehicle;

   Sammanfattning : This thesis deals with system design of cost effective hybrid and fuel cell vehicles. Today (2004) the major disadvantages of these vehicles are increased complexity and component costs. However, the decrease in cost of electrical components and the environmental concern make these vehicles more and more competitive. LÄS MER

3. 7. A methodology for the design of cost effective hybrid vehicles

   Författare :Jonas Hellgren; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; finite state machine; alternative driveline; evolutionary algorithms; genetic algorithms; hybrid vehicle; optimal design; simulation; hybrid electric vehicle; moddeling; fuel cell vehicle;

   Sammanfattning : .... LÄS MER

4. 8. Exploring Massively Parallel Models and Architectures for Efficient Computation of Evolutionary Algorithms

   Författare :Sven Eklund; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributed population models; evolutionary algorithms; symbolic function regression; genetic programming; linear machine code; Diffusion Model; time series forecasting; FPGA; VHDL;

   Sammanfattning : 'Evolutionary algorithms' is the collective name for a group of relatively new stochastic search algorithms that have several unique and interesting properties. However, as with all search algorithms, evolutionary algorithms also have disadvantages. LÄS MER

5. 9. A bilevel approach to parameter tuning of optimization algorithms using evolutionary computing : Understanding optimization algorithms through optimization

   Författare :Martin Andersson; Amos Ng; Sunith Bandaru; Kalyanmoy Deb; Juergen Branke; Högskolan i Skövde; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Sammanfattning : Most optimization problems found in the real world cannot be solved using analytical methods. For these types of difficult optimization problems, an alternative approach is needed. LÄS MER

7. 10. Exploring massively parallel models and architectures for efficient computation of evolutionary algorithms

   Författare :Sven Eklund; Högskolan Dalarna; []
   Nyckelord :evolutionary algorithms; genetic programming; linear machine code; distributed population models; diffusion model; symbolic function regression; time series forecasting; VHDL; FPGA;

   Sammanfattning : .... LÄS MER