Efficiency tradeoffs in probabilistic diagnosis, 560 adams, niall, 126 adaptive noise mechanism for walksat, an, 655 agent approach to security in pervasive. Genetic programming gp is an illogical method for automatic programming. The idea of mep is introduced into the gep in this paper, so a single gep. This is then used to illustrate hoare s notation for specifying the partial correctness of programs.
In this paper, by contrast, we present an original approach that combines genetic programming with hoare logic with the aid of model checking and finite state automata, henceby proposing a brand new verificationfocused formal genetic programming system that makes it possible to evolve reliable programs with mathematicallyverified properties. The unified modeling language reference manual guide books. While this kind of specification is usually easy to provide, it is by definition incompletein general nothing or at best, very little can be guaranteed about program behavior for other inputs. This text is a selfcontained introduction to program verification using logicbased methods, presented in the broader context of. In recent years, multiexpression programming which is proposed in the genetic programming is a linear structure coding scheme,its main feature is a chromosome contains multiple expressions.
In this paper, by contrast, we present an original approach that combines genetic programming with hoare logic with the aid of model checking. Genetic programming gp is a collection of evolutionary computation techniques that allow computers to solve problems automatically. Science china information sciences 54, 3 march 2011, 623637. In this paper, by contrast, we present an original approach that combines genetic programming with hoare logic with the aid of model checking and finite state automata, henceby proposing a brand. The evolution of higherlevel biochemical reaction models. Analysis and optimum design for the transient thermal. Linking gene expression to phenotypes via pathway information. Genetic programming gp proves e ective for testbased synthesis. These pages provide information about recent developments at or relevant to the illc. Establishing robust links among gene expression, pathways and phenotypes is critical for understanding diseases and developing treatments. Kren t and neruda r utilization of reductions and abstraction elimination in typed genetic programming proceedings of the 2014 annual conference on genetic and evolutionary computation, 943950. In this paper, by contrast, we present an original approach that combines. Read the evolution of higherlevel biochemical reaction models, genetic programming and evolvable machines on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Api testing application programming interface testing of the application using public and private apis software testing code coverage creating tests to satisfy some criteria of code coverage e. Genetic programming can automatically create a general solution to a problem in the form of a parameterized topology. In this paper, hoare provides a technique that 1 allows programmers to express program properties and 2 allows these properties to be automatically checked. The unified modeling language reference manual december 1998. Hoares seminal 1969 paper an axiomatic basis for computer programming introduces a method of reasoning about program correctness now known as hoare logic.
A logicbased model of intentions for multiagent subcontracting. A fuzzy logic based controller to provide endtoend congestion control for streaming media applications. To make the material more suitable for beginners, these are illustrated with an extensive example. Program verification is the area of computer science that studies mathematical methods for checking that a program conforms to its specification. In this paper, by contrast, we present an original approach that combines genetic programming with hoare logic with the aid of model checking and finite state automata, henceby proposing a brand new verificationfocused formal genetic programming. Almost all existing genetic programming systems deal with fitness evaluation solely by testing.
Genetic programming is a technique to automatically discover computer programs using principles of darwinian evolution. Eighteenth national conference on artificial intelligence. The implementation of functional programming languages. The kmitlglasgow doubledegree program in software engineering is a collaboration between kmitl and the university of glasgow, uk. Grammatical evolution ge is a combination of genetic algorithm and contextfree grammar, evolving programs for given problems by breeding candidate programs in the context of a grammar using genetic operations. Genetic programming gp is an inductive program synthesis technique, in which desired program behavior is defined by a set of inputoutput test cases. Proceedings of the eighteenth national conference on artificial intelligence. Since its inception twenty years ago, gp has been used to solve a wide range of practical problems, producing a number of humancompetitive results and even patentable new inventions. Counterexampledriven genetic programming mit press journals. An abstractionbased genetic programming system request pdf.
Hoare logicbased genetic programming kent academic. In this paper, by contrast, we present an original approach that combines genetic programming with hoare logic with the aid of model checking and finite state automata, henceby proposing a brand new verificationfocused formal genetic programming system that makes it possible to evolve reliable. My principal research interests are in the areas of artificial intelligence and machine learning, in particular the theory, implementations and realworld applications of. For minor updates to existing entries you can also email the news administrators directly. Engineering hoare logicbased program verification in k framework abstract. The pennsylvania state university citeseerx archives 20100227 20100227 2005 application pdf text.
Brief comparisons with a few other logic based approaches are also made. In this paper we describe a methodology for easy development of hoare logic verification tools using the k operational semantics of programming languages. See section 6 where examples of these formulas are given. Content posted in 2011 scholar commons university of. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers. Solving symbolic regression problems with formal constraints. Please let us know if you have material that you would like to be added to the news pages, by using the online submission form. In recent years there have been many efforts to develop the computational means to traverse from genes to gene expression, model pathways and classify phenotypes. It shows creativity in discovering a desired program to solve problem, but in essence bases its searching principle on. Algorithms are always unambiguous and are used as specifications for performing. This chapter introduces the basics of genetic programming. The average energy was determined based on the parameters calculated using the transient thermal.
It was proposed in 1969 by the british computer scientist and logician tony hoare, and subsequently refined by hoare and other researchers. Fulltext versions of the papers are linked to the abstract text. Hoare logic also known as floyd hoare logic or hoare rules is a formal system with a set of logical rules for reasoning rigorously about the correctness of computer programs. Our synthesis method is based on genetic programming. The inventions generated by genetic programming exhibit the kind of illogical discontinuity from previous human work that is required to obtain a patent.
Publications by dr colin johnson school of computing. An approach to designing an unmanned helicopter autopilot using genetic algorithms and simulated annealing. In genetic programming gp, the behavior of a target program is usually specified using a set of inputoutput examples, and fitting them well enough with. Gene expression programming is a new and adaptive brand evolution algorithm which is developed on the basis of genetic algorithm. Types of white box testing the following types of white box testing exist. Volume3 issue1 international journal of engineering. Hoare s notation uses formal logic notation to express conditions on the values of program variables. As far as the representation is concerned, classical ge as well as most of its existing variants lacks awareness of both syntax and semantics, therefore having no. Dr alireza tamaddoninezhad imperial college london.
The implementation of functional programming languages prentice hall international. Suggested assignments to be conducted on a 3hour slot. A simple programming language containing assignments, conditionals, blocks and whileloops is introduced. Aisb 2008 convention communication, interaction and social intelligence 1st4th april 2008 university of aberdeen volume 12. For key hoare we focus on a simple imperative programming language whose. Flowchart for genetic programming gp perform reproduction yes no gen.
It will be conducted in tandem with the theory course so the topics for problems given in the lab are already initiated in the theory class. Engineering hoare logicbased program verification in k. We conclude this chapter with a brief reference manual for keyhoare to describe. Counterexamplebased genetic programming cdgp, an evolutionary heuristic that synthesizes programs.
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