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Parallel Evolutionary Combinatorial Optimization

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Springer Handbook of Computational Intelligence

Part of the book series: Springer Handbooks ((SHB))

Abstract

In this chapter, a clear difference is made between the parallel design aspect and the parallel implementation aspect of evolutionary algorithms (GlossaryTerm

EA

s). From the algorithmic design point of view, the main parallel models for GlossaryTerm

EA

s are presented. A unifying view of parallel models for GlossaryTerm

EA

s is outlined. This chapter is organized as follows. In Sect. 55.2, the main parallel models for designing GlossaryTerm

EA

s are presented. Section 55.3 deals with the implementation issues of parallel GlossaryTerm

EA

s. In this section, the main concepts of parallel architectures and parallel programming paradigms, which interfere with the design and implementation of parallel GlossaryTerm

EA

s, are outlined. The main performance indicators that can be used to evaluate a parallel GlossaryTerm

EA

s in terms of efficiency are detailed. Finally, Sect. 55.4 deals with the design and implementation of different parallel models for GlossaryTerm

EA

s based on the software framework ParadisEO.

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Abbreviations

ACO:

ant colony optimization

ALU:

arithmetic logic unit

COP:

cluster of processors

COW:

cluster of workstations

CPU:

central processing unit

CUDA:

compute unified device architecture

DMA:

direct memory access

DREAM:

distributed resource evolutionary algorithm machine

EA:

evolutionary algorithm

ECJ:

Java evolutionary computation

FPGA:

field programmable gate array

FPU:

floating point unit

GPU:

graphics processing unit

HPC:

high-performance computing

JDEAL:

Java distributed evolutionary algorithms library

LAN:

local network

MAFRA:

Java mimetic algorithms framework

MPI:

message passing interface

MPP:

massively parallel machine

NOW:

networks of workstation

RAM:

random access memory

RMI:

remote method invocation

RPC:

remote procedure call

SMP:

symmetric multiprocessor

WAN:

wide area network

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Authors and Affiliations

  1. Computer Science CRISTAL, University of Lille, Bat.M3 cité scientifique, 59655, Villeneuve d’Ascq, France

    El-Ghazali Talbi

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  1. El-Ghazali Talbi
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Correspondence to El-Ghazali Talbi .

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Editors and Affiliations

  1. Systems Research Inst., Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  2. Dep. Electrical and Computer Engineering, University of Alberta, 116 Street 9107, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Talbi, EG. (2015). Parallel Evolutionary Combinatorial Optimization. In: Kacprzyk, J., Pedrycz, W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_55

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  • DOI: https://doi.org/10.1007/978-3-662-43505-2_55

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