How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape? Invited talk, IEEE world congress on computational intelligence

BK Manderick

How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape? Invited talk, IEEE world congress on computational intelligence

BK Manderick

Erasmus School of Economics

Research output: Chapter/Conference proceeding › Chapter › Academic

Original language	Undefined/Unknown
Title of host publication	Computational intelligence: imitating life
Editors	J.M. Zurada, R.J. Marks, C.J. Robinson
Place of Publication	New York
Pages	170-181
Number of pages	12
Publication status	Published - 1994

Research programs

EUR ESE 14

Cite this

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title = "How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape? Invited talk, IEEE world congress on computational intelligence",

author = "BK Manderick",

year = "1994",

language = "Undefined/Unknown",

isbn = "0780311043",

pages = "170--181",

editor = "J.M. Zurada and R.J. Marks and C.J. Robinson",

booktitle = "Computational intelligence: imitating life",

}

How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape? Invited talk, IEEE world congress on computational intelligence. / Manderick, BK.
Computational intelligence: imitating life. ed. / J.M. Zurada; R.J. Marks; C.J. Robinson. New York, 1994. p. 170-181.

Research output: Chapter/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - How to select genetic operators for combinatorial optimization problems by analyzing their fitness landscape? Invited talk, IEEE world congress on computational intelligence

AU - Manderick, BK

PY - 1994

Y1 - 1994

M3 - Chapter

SN - 0780311043

SP - 170

EP - 181

BT - Computational intelligence: imitating life

A2 - Zurada, J.M.

A2 - Marks, R.J.

A2 - Robinson, C.J.

CY - New York

ER -