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Optimisation of the gas-exchange system of combustion engines by Genetic Algorithm
2000
2009 4th International Conference on Autonomous Robots and Agents
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This paper proposes a new method for the optimisation of these systems through the use of modified Genetic Algorithm techniques, principally a variable length chromosome encoding. ...
Current techniques for the optimisation of combustion engine gas-exchange systems still predominantly use trial and error. ...
While single rpm optimisations may have some application in areas such as stationary power generation, for the majority of potential applications, a solution which only gives good performance at a single ...
doi:10.1109/icara.2000.4804021
dblp:conf/icara/RoseML09
fatcat:ijbyx2kv6fhbdekszxh7klv47e
Genetic Algorithms Optimised Chemical Reactors Network Application: Hydrogen Emissions Performance of a V2527 engine
2015
USES Conference Proceedings
unpublished
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A technique, namely Genetic Algorithms optimised Chemical Reactors Network (GACRN) was implemented to search for the flow splits of a V2527 engine combustor. ...
Emissions from hydrogen combustion in aircraft engines are one of the concerns of this future alternative fuel. Full scale engine tests are costly. ...
Data on V2527 engine performance was provided by Fredrick Svensson, formally of FOI, the Swedish Defence Research Agency. This paper is also dedicated to the memory of Prof. ...
doi:10.15445/01012014.10
fatcat:t7qcbzntwjg5tb25zzmqp67rvq
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
2010
Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10
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We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumption and hence limiting ...
Heuristic optimisation approaches hold significant promise to balance complex tradeoffs in building design; however the unique nature of each building optimization problem limits broader implementation ...
Low values for P m are more harmful than low values for P c . The values of P m = 0.2 and P c = 0.5 have been chosen for subsequent optimisations. ...
doi:10.1145/1830483.1830726
dblp:conf/gecco/EvinsPV10
fatcat:okodleyc2jg5pfeav2pnnvaw6q
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
2010
Proceedings of the 12th annual conference comp on Genetic and evolutionary computation - GECCO '10
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We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumption and hence limiting ...
Heuristic optimisation approaches hold significant promise to balance complex tradeoffs in building design; however the unique nature of each building optimization problem limits broader implementation ...
Low values for P m are more harmful than low values for P c . The values of P m = 0.2 and P c = 0.5 have been chosen for subsequent optimisations. ...
doi:10.1145/1830761.1830845
dblp:conf/gecco/Evins10
fatcat:hkikzmno4jff5jrsmw5scxb4s4
Page 560 of The Journal of the Operational Research Society Vol. 47, Issue 4
[page]
1996
The Journal of the Operational Research Society
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SMITH (1994) Commercial applications of genetic algorithms. In Applications of Modern Heuristic Methods (V. J. RAYWARD-SMITH, Ed.) pp. 71-90. Alfred Waller, Henley-on-Thames.
. H. M. ...
GoLpBerG (1989) Genetic Algorithms in Search, Optimisation and Machine Learning. Addison-Wesley, Reading, MA.
. C. R. Reeves (1993) Modern Heuristic Techniques for Combinatorial Problems. ...
THE SCOPE OF GENETIC ALGORITHMS IN DEALING WITH FACILITY LAYOUT PROBLEMS
2012
South African Journal of Industrial Engineering
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The paper presents a state-of-the-art review of the application of the Genetic Algorithm (GA), an important methodology in facility layout problems that can be used to gauge current and emerging trends ...
in new design objectives and methodologies that address combinatorial optimisation aspects. ...
[57] , the application of GA was significant in optimising the QAP formulation for FLP. ...
doi:10.7166/21-2-48
fatcat:atrrccqdknb7jfuyp5wguvd7da
Application of genetic methods in materials' design
2005
Journal of Materials Processing Technology
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In the paper an optimisation method for the designing of chemical composition of high-speed steels (HSS) based on genetic algorithms (GA) is presented. ...
Results of numerical simulation show that genetic algorithm-based optimisation of steel chemical composition is effective and very useful in designing of the new metallic materials. ...
from natural genetics. ...
doi:10.1016/j.jmatprotec.2005.01.005
fatcat:7mjdmexsvncrthkkx6waujgo44
Comparing genetic algorithms and particle swarm optimisation for an inverse problem exercise
2005
ANZIAM Journal
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This work describes how a genetic algorithm optimises the properties of a genetic algorithm and a particle swarm optimisation in order to produce algorithms ...
We describe the performance of two population based search algorithms (genetic algorithms and particle swarm optimisation) when applied to the optimisation of a structural dynamics model. ...
The difficulty with the application of the optimisation algorithms is that they need to be tuned. ...
doi:10.21914/anziamj.v46i0.949
fatcat:g3ebg4cf4zafhexy6c2r2ebcaq
GI4GI
2015
Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15
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Genetic improvement (GI) has been successfully used to optimise non-functional properties of software, such as execution time, by automatically manipulating program's source code. ...
Therefore, we propose the GI4GI framework (and two illustrative applications). ...
In this way we use genetic improvement to find a fitness function to guide a subsequent genetic improvement that finds an energy efficient version of the given program or application. ...
doi:10.1145/2739482.2768415
dblp:conf/gecco/HarmanP15
fatcat:mbumvq4lvzhcpiu7k4wqzacg6m
An Integration Platform for Metacomputing Applications
[chapter]
2002
Lecture Notes in Computer Science
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Simulation and optimisation applications involve a large variety of codes that result in high CPU loads on existing computer systems. ...
environments for coupling heterogeneous codes in problem-solving environments supporting multi-discipline applications. ...
Part of this project is funded by INRIA through ARC " Couplage " and by the French RNRT program, through the VTHD project. ...
doi:10.1007/3-540-46043-8_48
fatcat:2hnshx5juzfojhm3pilblgnxbq
A novel hybrid fuzzy logic-genetic algorithm-data envelopment approach for simulation optimisation of pressure vessel design problems
2012
International Journal of Mathematics in Operational Research (IJMOR)
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(xxxx) 'A novel hybrid fuzzy logic-genetic algorithm-data envelopment approach for simulation optimisation of pressure vessel design problems', Int. ...
The efficiency of some of the design optimisation algorithms are compared with the proposed approach of this study, based on the Data Envelopment Analysis (DEA). ...
The authors would like to acknowledge the financial support of University of Tehran for this research under grant number 8106013/1/04. ...
doi:10.1504/ijmor.2012.049940
fatcat:pbrjtxozfrgw7gsvwi4dd7isva
Genetic-algorithm programming environments
1994
Computer
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For each category of GA programming environment we review their common features and present a case study of a leading environment. ...
Next we classify GA software environments into three main categories: Application-oriented, Algorithm-oriented and Tool-Kits. ...
Finally, we acknowledge our colleagues Jason Kingdon and Suran Goonatilake for commenting on early drafts of this paper. ...
doi:10.1109/2.294850
fatcat:vl53uu64jnc5hcufrxawrshtqq
Neurodesign: Optimal experimental designs for task fMRI
[article]
2017
bioRxiv
pre-print
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We implemented the genetic algorithm, introduced by Wager and Nichols (2003) and further improved by Kao et al. (2009), to optimize the experimental design. ...
A recent stream of alarming publications questions the validity of published neuroimaging findings. ...
The application implements a genetic algorithm to optimise experimental designs similar to this implementation. ...
doi:10.1101/119594
fatcat:cd3wfhmf3fazhenmzq7ai6sv2i
Stacking sequence optimisation of composite panels subjected to slamming impact loads using a genetic algorithm
2013
Latin American Journal of Solids and Structures
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Optimisation of stacking sequence for composite panels under slamming impact loads using a genetic algorithm method is studied in this paper. ...
Results obtained from these analyses reveal the fact that the adopted approach based on a genetic algorithm is highly capable of performing such optimisations. ...
The parameter C has a constant value throughout any time using of the optimisation process. In other words, the value of parameter C is unchanged for all chromosomes in all generations. ...
doi:10.1590/s1679-78252013000500010
fatcat:vyfpj4h7fvbvtoi2jtoi3fnyfy
OPTIMISATION OF NAVAL SHIP COMPARTMENT LAYOUT DESIGN USING GENETIC ALGORITHM
2021
Proceedings of the Design Society
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Genetic algorithms are one of the most widely used methods. ...
A new, hybrid genetic algorithm incorporating local search technique to further the improved genetic algorithm's practicality is proposed. ...
One of the widely used means to solving an optimisation problem is genetic algorithms. ...
doi:10.1017/pds.2021.495
fatcat:7ueb37sgcjehxnbsjfywlrewky
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