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Annual Report 2002 - Instytut Systemów Elektronicznych

Annual Report 2002 - Instytut Systemów Elektronicznych

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INSTITUTE OF ELECTRONIC SYSTEMS - <strong>Annual</strong> <strong>Report</strong> <strong>2002</strong>1.7. Independent Research Group on Artificial IntelligenceHead:Jan J. Mulawka, Professor, Ph.D., D.Sc.Room: 225Phone: (+48-22) 660 5319e-mail: jml@ise.pw.edu.plStaff:Jaroslaw Arabas, Assistant Professor, Ph.D.,Pawel Cichosz, Assistant Professor, Ph.D.,Piotr Wasiewicz, Assistant Professor, Ph.D.General InformationThe main subject of research concerns thecomputational intelligence. In particular the followingtopics have been considered in detail:• Molecular Computing,• Molecular Electronics,• Expert Systems,• Evolutionary Algorithms,• Machine Learning,• Database Mining,• Advanced Control.Molecular computing is a new field of research incomputation intelligence. In this approach wellestablishedtools of molecular biology are used to solveproblems of computer science. A central idea behindmuch of molecular computing is its promise ofimplementation of massive parallelism and associativememory. Thus it may be a challenge for traditionaldigital computers. In our research we have introduced anovel application of molecular computing to problemsof expert systems. Biochemical reactions on DNAstrands were used to realise the backward chainingalgorithms.Evolutionary Algorithms can be divided into threeareas: Genetic Algorithms (GA), Evolution Strategies(ES), and Genetic Programming (GP). They havedeveloped applications in global optimisation. In theresearch on GA and ES new algorithms based onaccommodation of population size are proposed. Theconcept of chromosome age has been introduced. Theprocess is controlled by the tage of optimisation. Thesemethods lead to a significant reduction of thecomputation effort needed to achieve comparableresults. To improve GA technique, an approach basedon applying GP methodology to find the best GAstructure for global optimisation has been developed. Itenables better results to be obtained in comparison withstandard approaches. Several applications ofevolutionary algorithms are addressed, such as:microwave circuits design, graph theory andtelecommunication.- 13 -

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