OPTIMOINNIN JATKOKURSSIlaisten tiivistelmät kirjasta

K. Miettinen, M. M. Mäkelä, P. Neittaanmäki, J. Periaux (eds): Evolutionary Algorithms in Engineering and Computer Science

PART I: METHODOLOGICAL ASPECTS

• Using Genetic Algorithms for Optimization: Technology Transfer in Action
• An Introduction to Evolutionary Computation and Some Applications
• Evolutionary Computation: Recent Developments and Open Issues (Kati Pyhälä)
• Some Recent Important Foundational Results in Evolutionary Computation
• Evolutionary Algorithms for Engineering Applications (Markus Inkeroinen)
• Embebbed Path Tracing and Neighbourhood Search Techniques (Heikki Maaranen)
• Parallel and Distributed Evolutionary Algorithms (Raimo Salo)
• Evolutionary Multi-Criterion Optimization
• ACO Algorithms for the Traveling Salesman Problem (Heikki Niittylä)
• Genetic Programming: Turing's Third Way to Achieve Machine Intelligence (Janne Kujala)
• Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming (Janne Kujala)

PART II: APPLICATION-ORIENTED APPROACHES

• Multidisciplinary Hybrid Constrained GA Optimization
• Genetic Algorithm as a Tool for Solving Electrical Engineering Problems
• Genetic Algorithms in Shape Optimization: Finite and Boundary Element Applications
• Genetic Algorithms and Fractals (Kai Rajala)
• Three Evolutionary Approaches to Clustering

PART III: INDUSTRIAL APPLICATIONS

• Evolutionary Algorithms Applied to Academic and Industrial Test Cases (Kati Pyhälä)
• Optimization of an Active Noise Control System inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm
• Generator Scheduling in Power Systems by Genetic Algorithm and Expert System
• Efficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms
• Genetic Algorithms in Shape Optimization of a Paper Machine Headbox
• A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics
• Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes (Tomi Pakarinen)
• Circuit Partitioning Using Evolution Algorithms (Tomi Pakarinen)