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Tight Analysis of the (1+1)-EA for the Single Source Shortest Path Problem

Evolutionary Computation, Volume 0, Issue 0, Page 1-19, Early Access.

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Tight Analysis of the (1+1)-EA for the Single Source Shortest Path Problem

Evolutionary Computation, Volume 0, Issue 0, Page 1-19, Early Access.

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Classification-based self-adaptive differential evolution with fast and reliable convergence performance

Abstract  To avoid the problems of slow and premature convergence of the differential evolution (DE) algorithm, this paper presents
a new DE variant named p-ADE. It improves the convergence performance by implementing a new mutation strategy… Continue reading

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A fuzzy-rule-based driving architecture for non-player characters in a car racing game

Abstract  Videogame-based competitions have been the target of considerable interest among researchers over the past few years since
they provide an ideal framework in which to apply soft computing techniques. One of the most popular competi… Continue reading

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Introduction

Introduction
Content Type Journal ArticlePages 1-3DOI 10.1007/s11047-011-9247-zAuthors
José Félix Costa, Department of Mathematics, Instituto Superior Técnico Universidade Técnica de Lisboa, Lisboa, PortugalNachum Dershowitz, School of Computer … Continue reading

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Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat control

Abstract  Genetic programming (GP) is one of the most widely used paradigms of evolutionary computation due to its ability to automatically
synthesize computer programs and mathematical expressions. However, because GP uses a variable length… Continue reading

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Use of the q-Gaussian mutation in evolutionary algorithms

Abstract  This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms. The shape of
the q-Gaussian mutation distribution is controlled by a real parameter q… Continue reading

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Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programming

Abstract  The mesh refinement decisions of an experienced user of high-velocity impact numerical approximation finite differences computations
are discovered as a set of comprehensible rules by means of Genetic Programming. These rules that … Continue reading

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Distributed quantum programming

Abstract  In this paper we explore the structure and applicability of the Distributed Measurement Calculus (DMC), an assembly language
for distributed measurement-based quantum computations. We describe the formal language’s syntax and sem… Continue reading

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Quantum value indefiniteness

Abstract  The indeterministic outcome of a measurement of an individual quantum is certified by the impossibility of the simultaneous,
unique, definite, deterministic pre-existence of all conceivable observables from physical conditions of t… Continue reading

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