Evolutionary Algorithms for Embedded System Design
[Book]
edited by Rolf Drechsler, Nicole Drechsler.
Boston, MA
Springer US : Imprint : Springer
2003
(206 pages)
Genetic algorithms and evolutionary computation, 10.
1 Evolutionary Testing of Embedded Systems --;1. Introduction --;2. Test Methods --;3. Evolutionary Testing --;4. Evolutionary Testing of Non-Functional Properties --;5. Evolutionary Testing of Functional Behavior --;6. Conclusion, Future Work --;2 Genetic Algorithm Based DSP Code Optimization --;1. Compilers for Digital Signal Processors --;2. Address Generation in DSPs --;3. Offset Assignment Problem --;4. Genetic Algorithm Formulation --;5. Experimental Results --;6. Conclusions --;3 Hierarchical Synthesis of Embedded Systems --;1. Introduction --;2. A Model for Embedded System Synthesis --;3. System Synthesis --;4. System Synthesis Using Evolutionary Algorithms --;5. Hierarchical Design Space Exploration --;6. Case Study --;7. Conclusions --;4 Functional Test Generation --;1. Introduction --;2. Functional Test Generation Algorithms --;3. Proposed Hybrid Approach --;4. Experimental Results --;5. Concluding Remarks --;5 Built-In Self Test of Sequential Circuits --;1. Introduction --;2. Cellular Automata --;3. Test Architecture --;4. The Selfish Gene Algorithm --;5. Selfish Gene for CA-CSTP --;6. Experimental Results --;7. Conclusions.
Evolutionary Algorithms for Embedded System Design describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical.