Single- and multi-objective genetic programming

Nguyen, Aimee; Urli, Tommaso; Wagner, Markus

doi:10.1145/2460239.2460254

Cited by 11 publications

(2 citation statements)

References 12 publications

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“…Finally, the structure successfully passed the cooling tests with the pipeline structure intact and without leakage. [19][20] The French company MBDA and the German company EADS Space Transportation have collaborated for over a decade since the beginning of the 21st century on the innovative active cooling structure design and manufacturing studies for hypersonic vehicle combustion chambers. The project technology is named as PTAH-SOCAR.…”

Section: Thermal Protection Performance Of Carbon Fiber-reinforced Co...mentioning

confidence: 99%

“…carbon-reinforced composites, such as the low material tensile strength, high brittleness, and low thermal conductivity, the combined cooling structures adopting the metal channels and composites are often used in practical applications. [11][12][13][14][15][16][17][18][19][20][21][22][23] However, increasing the proportion of carbon-reinforced composites with lower density, higher specific strength and higher temperature resistance in active thermal protection structures has become the trend. The complex physicochemical processes, such as the heat transfer deterioration and enhancement, [24][25][26] heat transfer instability, [27][28] flow maldistribution, [29][30] thermal oxidative coking [31][32] and, pyrolytic coking problems, [33][34][35][36] etc., are still not clear in the composite regenerative cooling channel.…”

Section: Introductionmentioning

confidence: 99%

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Application of Carbon Fiber‐Reinforced Ceramic Composites in Active Thermal Protection of Advanced Propulsion Systems: A Review

Jing

Xin

Zhang

et al. 2023

The Chemical Record

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Thermal protection is one of the crucial issues for the advanced propulsion systems of Reusable Launch Vehicles. New service requirements for materials, such as high strength, low density, low thermal expansion, high thermal stability, etc., are raised for the thermal structure with the increasing demand of flight Mach numbers and thrust‐to‐weight ratio. Carbon fiber‐reinforced ceramic composites, which generally meet the aforementioned requirements, show great potential for various applications and they have been widely applied in the thermal protection for hypersonic vehicles. This paper gives a comprehensive and systematic review of current research status for carbon fiber‐reinforced ceramic composites applied in the thermal structure of advanced propulsion systems. Three aspects are presented and discussed: the ceramic composites fabrication and the property characterization, the thermal performance of composite thermal structure used in practical engines, and the numerical methods for predicting mechanical and thermal properties of composites as well as the physicochemical phenomenon in the cooling channels. Firstly, the main manufacturing processes for the carbon‐reinforced ceramic composites are presented and the corresponding advantages and disadvantages are analyzed. The high‐temperature oxidation and ablation behaviors of composites are demonstrated and the improvement of oxidation and ablation resistance by introducing the ultra‐high‐temperature ceramics into C/C composites is discussed in detail. Then, several typical applications of carbon fiber‐reinforced ceramic composites (mainly C/SiC), including the work of RCI, JAXA and NASA, have been reviewed and analyzed. After that, the current research status of macroscale equivalent and multiscale numerical methods for predicting the mechanical and thermal properties of composites as well as the complex physicochemical phenomenon occurring in hydrocarbon fuels are sorted out. Finally, several potential prospects are pointed out for the future research on the thermal protection of advanced propulsion systems based on the carbon fiber‐reinforced ceramic composites.

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Section: Thermal Protection Performance Of Carbon Fiber-reinforced Co...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Carbon Fiber‐Reinforced Ceramic Composites in Active Thermal Protection of Advanced Propulsion Systems: A Review

Jing

Xin

Zhang

et al. 2023

The Chemical Record

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Computational Complexity Analysis of Genetic Programming

Lissovoi

Oliveto

2019

Natural Computing Series

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Genetic programming (GP) is an evolutionary computation technique to solve problems in an automated, domain-independent way. Rather than identifying the optimum of a function as in more traditional evolutionary optimization, the aim of GP is to evolve computer programs with a given functionality. While many GP applications have produced human competitive results, the theoretical understanding of what problem characteristics and algorithm properties allow GP to be effective is comparatively limited. Compared with traditional evolutionary algorithms for function optimization, GP applications are further complicated by two additional factors: the variable-length representation of candidate programs, and the difficulty of evaluating their quality efficiently. Such difficulties considerably impact the runtime analysis of GP, where space complexity also comes into play. As a result, initial complexity analyses of GP have focused on restricted settings such as the evolution of trees with given structures or the estimation of solution quality using only a small polynomial number of input/output examples. However, the first computational complexity analyses of GP for evolving proper functions with defined input/output behavior have recently appeared. In this chapter, we present an overview of the state of the art.Algorithm 1: The (1+1) GP 1 Initialize a tree X;We will also consider the theoretical work on GSGP, where the variation operators used by the GP system are designed to modify program semantics rather than program syntax.This chapter presents an overview of the state of the art. It is structured as follows. In Section 2, we introduce the (1 + 1) GP, the GP system used for most of the available computational complexity analysis results. In Section 3, we present an overview of the analyses of GP systems for evolving tree structures with specific properties (the Order, Majority, and Sorting problems). In Section 4, we present results where GP systems evolve programs with limited functionality: the MAX problem is considered in Subsection 4.1, and the Identification problem in Subsection 4.2. Section 5 presents results for GP evolving proper Boolean functions of arity n. Section 6 presents a brief overview of the computational complexity results available for GSGP algorithms. Finally, Section 7 presents a summary of the presented results and discusses the open directions for future work.

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Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming

Kötzing

Lagodzinski

Lengler

et al. 2018

Parallel Problem Solving From Nature – PPSN XV

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For theoretical analyses there are two specifics distinguishing GP from many other areas of evolutionary computation. First, the variable size representations, in particular yielding a possible bloat (i.e. the growth of individuals with redundant parts). Second, the role and realization of crossover, which is particularly central in GP due to the tree-based representation. Whereas some theoretical work on GP has studied the effects of bloat, crossover had a surprisingly little share in this work.We analyze a simple crossover operator in combination with local search, where a preference for small solutions minimizes bloat (lexicographic parsimony pressure); the resulting algorithm is denoted Concatenation Crossover GP. For this purpose three variants of the well-studied Majority test function with large plateaus are considered. We show that the Concatenation Crossover GP can efficiently optimize these test functions, while local search cannot be efficient for all three variants independent of employing bloat control.

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Single- and multi-objective genetic programming

Cited by 11 publications

References 12 publications

Application of Carbon Fiber‐Reinforced Ceramic Composites in Active Thermal Protection of Advanced Propulsion Systems: A Review

Application of Carbon Fiber‐Reinforced Ceramic Composites in Active Thermal Protection of Advanced Propulsion Systems: A Review

Computational Complexity Analysis of Genetic Programming

Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming

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