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    Chapter and Conference Paper

    Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems

    Difficult Pareto set topology refers to multi-objective problems with geometries of the Pareto set such that neighboring optimal solutions in objective space differ in several or all variables in decision spac...

    Yuri Marca, Hernán Aguirre in Evolutionary Multi-Criterion Optimization (2019)

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    Chapter and Conference Paper

    Estimating Relevance of Variables for Effective Recombination

    Dominance, extensions of dominance, decomposition, and indicator functions are well-known approaches used to design MOEAs. Algorithms based on these approaches have mostly sought to enhance parent selection an...

    Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka in Evolutionary Multi-Criterion Optimization (2019)

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    Chapter and Conference Paper

    A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems

    We study the difficulty of solving different bi-objective formulations of the permutation flowshop scheduling problem by adopting a fitness landscape analysis perspective. Our main goal is to shed the light on...

    Arnaud Liefooghe, Bilel Derbel in Evolutionary Multi-Criterion Optimization (2017)

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    Chapter and Conference Paper

    An Approach for the Local Exploration of Discrete Many Objective Optimization Problems

    Multi-objective optimization problems with more than three objectives, which are also termed as many objective optimization problems, play an important role in the decision making process. For such problems, i...

    Oliver Cuate, Bilel Derbel, Arnaud Liefooghe in Evolutionary Multi-Criterion Optimization (2017)

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    Chapter and Conference Paper

    Using Parallel Strategies to Speed up Pareto Local Search

    Pareto Local Search (PLS) is a basic building block in many state-of-the-art multiobjective combinatorial optimization algorithms. However, the basic PLS requires a long time to find high-quality solutions. In...

    Jialong Shi, Qingfu Zhang, Bilel Derbel in Simulated Evolution and Learning (2017)

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    Chapter and Conference Paper

    Radio Network Distributed Algorithms in the Unknown Neighborhood Model

    The paper deals with radio network distributed algorithms where initially no information about node degrees is available. We show that the lack of such an information affects the time complexity of existing fu...

    Bilel Derbel, El-Ghazali Talbi in Distributed Computing and Networking (2010)

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    Chapter and Conference Paper

    Local Computation of Nearly Additive Spanners

    An (α,β)-spanner of a graph G is a subgraph H that approximates distances in G within a multiplicative factor α and an additive error β, ensuring that for any two nodes u,v, d H

    Bilel Derbel, Cyril Gavoille, David Peleg, Laurent Viennot in Distributed Computing (2009)

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    Chapter and Conference Paper

    Local Maps: New Insights into Mobile Agent Algorithms

    We address the problem of computing with mobile agents having small local maps. Several trade-offs concerning the radius of the local maps, the number of agents, the time complexity and the number of agent mov...

    Bilel Derbel in Distributed Computing (2008)

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    Chapter and Conference Paper

    Deterministic Distributed Construction of Linear Stretch Spanners in Polylogarithmic Time

    The paper presents a deterministic distributed algorithm that given an n node unweighted graph constructs an O(n 3/2) edge 3-spanner for it in O(logn) time. This algorithm is then extended into a ...

    Bilel Derbel, Cyril Gavoille, David Peleg in Distributed Computing (2007)

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    Chapter and Conference Paper

    Efficient Distributed Handshake Using Mobile Agents

    There is a handshake between two nodes in a network, if the two nodes are communicating with one another in an exclusive mode. In this paper, we give a mobile agent algorithm that allows to decide whether two ...

    Bilel Derbel in Distributed Computing and Networking (2006)

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    Chapter and Conference Paper

    Fast Deterministic Distributed Algorithms for Sparse Spanners

    This paper concerns the efficient construction of sparse and low stretch spanners for unweighted arbitrary graphs with n nodes. All previous deterministic distributed algorithms, for constant stretch spanner of o

    Bilel Derbel, Cyril Gavoille in Structural Information and Communication Complexity (2006)