Results 71 to 80 of about 1,067 (175)
Memetic algorithms with variable-depth search to overcome local optima [PDF]
, 2008 Variable-depth search (VDS) is well-known as Lin-Kernighan strategy for the TSP and Kernighan-Lin for graph partitioning. The basic idea is to make a sequence of local moves and to freeze all moved combinatorial objects to prevent the search from looping.
Dirk Sudholt, Sudholt, Dirk
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, 2010 Many operations require an area search function, including search-and-rescue, surveillance, hazard detection, structure or site inspection and agricultural spraying.
Meuth, Ryan J. +3 more
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A memetic approach to vehicle routing problem with dynamic requests
, 2016 The paper presents an effective algorithm for solving Vehicle Routing Problem with Dynamic Requests based on memetic algorithms. The proposed method is applied to a widely-used set of 21 benchmark problems yielding 14 new best-know results when using the
Żychowski, Adam, Mańdziuk, Jacek
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The capacitated dispersion problem: an optimization model and a memetic algorithm
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, and the growing interest of dealing with diversity resulted in an effort to study these problems in the last few years.
Sánchez Oro, Jesús +2 more
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A Memetic Algorithm Guided by Quicksort for the Error-Correcting Graph Isomorphism Problem
, 2002 Sorting algorithms define paths in the search space of n! permutations based on the information provided by a comparison predicate. We guide a Memetic Algorithm with a new mutation operator.
Estivill-Castro, V +5 more
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Advances in Hybrid Evolutionary Computation for Continuous Optimization
, 2011 Evolutionary Algorithms (EAs) are a set of optimization techniques that have become highly popular in recent decades. One of the main reasons for this success is that they provide a general purpose mechanism for solving a wide range of problems.
Muelas Pascual, Santiago
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Multi-objective memetic algorithms
, 2009 Memetic algorithms are a success story in sophisticated evolutionary computing. Written for as wide a readership as possible, this book reflects the current state-of-the-art in the theory and practice of Memetic algorithms and is an invaluable ...
Tan, Kay Chen +2 more
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A Memetic Island Model for Discrete Tomography Reconstruction
, 2011 Soft computing is a term indicating a coalition of methodologies, and its basic dogma is that, in general, better results can be obtained through the use of constituent methodologies in combination, rather than in a stand alone mode.
VALENTI, Cesare Fabio +7 more
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, 2011 This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Vasile, M. +3 more
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Genetic and memetic algorithms for scheduling railway maintenance activities
Nowadays railway companies are confronted with high infrastructure maintenance costs. Therefore good strategies are needed to carry out these maintenance activities in a most cost effective way.
Dekker, R., Kaymak, U., Budai-Balke, G.
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