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Evolving comprehensible and scalable solvers using CGP for solving some real-world inspired problems

December 2017

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Patricia Ryser-Welch

Newscastle University

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Cartesian genetic programming: its status and future

Article

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Jun 2020
GENET PROGRAM EVOL M

Julian Francis Miller

Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly redundant genes which are well-known to assist in effective evolutionary search. In this article, we review and compare many of the important aspects of the method and findings discussed since its inception. In the process, we make many suggestions for further work which could improve the efficiency of the CGP for solving computational problems.

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Article

SequenceL provides a different way to view programming

April 1998 · Computer Languages

Daniel E. Cooke

SequenceL is a new computer language that provides declarative constructs for nonscalar processing. In SequenceL, a problem solver provides little in the way of iterative/recursive details in a problem solution. Instead, the problem solver describes the solution directly by specifying, via a metastructure, the data structures which will hold results useful in solving the problem. SequenceL is a ... [Show full abstract] small language (i.e., there are a small number of language constructs), and it is not domain dependent. This paper serves as a comprehensive introduction to SequenceL, which includes new results and language features.

Conference Paper

High-Fidelity Optimization Framework for Helicopter Rotors

December 2012 · Aerospace Science and Technology

Manfred Imiela

An optimization framework for helicopter rotors based on high-fidelity coupled CFD/CSM analyses is presented. For this purpose the optimization software DAKOTA has been linked to a parametric geometry unit, a mesh generation unit and a fluid-structure module which consists of the DLR flow solver FLOWer coupled with the Comprehensive Rotorcraft Code HOST from Eurocopter. The optimization framework ... [Show full abstract] is first applied to various optimization problems in hover starting with the easy task of optimizing the twist rate for the 7A model rotor. The complexity of the optimizations is increased step by step and finishes with an optimization case involving all seven design parameters showing its superiority over simpler optimization problems with respect to the achieved improvement. In the next step the framework is operated in forward flight condition also for the optimization of the twist rate. Small improvements with respect to the 7A rotor are made though indicating the conflicting nature of hover and forward flight requirements. Thus a multi-objective optimization for the twist of the 7A rotor is carried out.

Conference Paper

High-Fidelity Optimization Framework for Helicopter Rotors

October 2009

Manfred Imiela

An optimization framework for helicopter rotors based on high-fidelity coupled CFD/CSM analyses is presented. For this purpose the optimization software DAKOTA has been linked to a parametric geometry unit, a mesh generation unit and a fluid-structure module which consists of the DLR flow solver FLOWer coupled with the Comprehensive Rotorcraft Code HOST from Eurocopter. The optimization framework ... [Show full abstract] is first applied to various optimization problems in hover starting with the easy task of optimizing the twist rate for the 7A model rotor. The complexity of the optimizations is increased step by step and finishes with an optimization case involving all seven design parameters showing its superiority over simpler optimization problems with respect to the achieved improvement. In the next step the framework is operated in forward flight condition also for the optimization of the twist rate. Small improvements with respect to the 7A rotor are made though indicating the conflicting nature of hover and forward flight requirements. Thus a multi-objective optimization for the twist of the 7A rotor is carried out.

Article

Full-text available

When novices surpass experts: The difficulty of a task may increase with expertise

July 1984 · Journal of Experimental Psychology Learning Memory and Cognition

Beth Adelson

Attempted to provide a detailed look at the representations of expert and novice problem solvers by characterizing some of the properties of the abstract and concrete representations formed during the comprehension of computer programs. 36 Ss formed 2 groups: 18 undergraduates who had completed an introductory computer programming course formed the novice group and 18 teaching fellows of the same ... [Show full abstract] course formed the expert group. The data suggest that, in the absence of an experimentally provided set, experts form abstract representations (defined here as what a program does), whereas novices form concrete representations (defined here as how a program functions). The data also suggest that appropriate sets can aid each group to form the representation not natural to them; however, these representations are not as stable as the preferred ones. The generality of the findings and the utility of the experts' representation of a task are discussed both in relation to computer programming and to problem solving in other domains. (22 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)