Design of combinational logic circuits through an evolutionary multiobjective optimization approach

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 16, Issue 1, 2002, Pages 39-53

  Coello Coello, Carlos A ^a,c   Hernández Aguirre, Arturo ^b  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

^b Tulane University   (United States)

^c NONE   (United States)

Author keywords

Circuit Design; Evolutionary Multiobjective Optimization; Evolvable Hardware; Genetic Algorithms; Multiobjective Optimization

Indexed keywords

COMBINATORIAL CIRCUITS; COMPUTATIONAL METHODS; GENETIC ALGORITHMS; OPTIMIZATION;

MULTIOBJECTIVE OPTIMIZATION;

LOGIC DESIGN;

EID: 0036295734     PISSN: 08900604     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0890060401020054     Document Type: Article

References (46)

1. MIS: A multiple-level logic optimization system
2. A genetic algorithm for constrained and multiobjective optimization
3. A comprehensive survey of evolutionary-based multiobjective optimization techniques
4. Treating constraints as objectives for single-objective evolutionary optimization
5. Automated design of combinational logic circuits using genetic algorithms
6. Use of evolutionary techniques to automate the design of combinational circuits
7. An investigation of niche and species formation in genetic function optimization
8. Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization
9. An overview of evolutionary algorithms in multiobjective optimization
10. Nonlinear FIR filter design by genetic algorithm
11. Multicriterion decision making
12. Extraction of design patterns from evolutionary algorithms using case-based reasoning
13. Evolutionary techniques for constrained optimization problems
14. Evolving more efficient digital circuits by allowing circuit layout and multi-objective fitness
15. Some aspects of an evolvable hardware for multiple-valued combinational circuit design
16. A map method for synthesis of combinational logic circuits
17. Reducing local optima in single-objective problems by multi-objectivization
18. Pareto optimality, GA-easiness and deception
19. Minimization of Boolean functions
20. Principles in the evolutionary design of digital circuits - Part I
21. Designing electronic circuits using evolutionary algorithms, arithmetic circuits: A case study
22. The genetic algorithm as a discovery engine: Strange circuits and new principles
23. Enhancing the decision-making process for paper mill schedulers
24. Multicriteria optimization for engineering design
25. The development of a directed genetic search technique for heavily constrained design spaces
26. Preliminary airframe design using co-evolutionary multiobjective genetic algorithms
27. Cooperative coevolution: An architecture for evolving coadapted subcomponents
28. A way to simplify truth functions
29. Multiple objective optimization with vector evaluated genetic algorithms
30. The COMOGA method: Constrained optimisation by multiobjective genetic algorithms
31. A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method
32. Explorations in design space: Unconventional electronics design through artificial evolution
33. Circuit evolution and visualisation
34. A divide-and-conquer approach to evolvable hardware
35. A chart method for simplifying Boolean functions
36. Low implementation cost IIR digital filter design using genetic algorithms
37. A multi-objective optimisation methodology applied to the synthesis of low-power operational amplifiers