Putting continuous metaheuristics to work in binary search spaces

Broderick Crawford; Ricardo Soto; Gino Astorga; José García; Carlos Castro; Fernando Paredes

doi:10.1155/2017/8404231

Putting continuous metaheuristics to work in binary search spaces

Broderick Crawford, Ricardo Soto, Gino Astorga, José García, Carlos Castro, Fernando Paredes

Research output: Contribution to journal › Review article › peer-review

125 Scopus citations

Abstract

In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces. These algorithmsmust be adapted to solve binary problems. This paper surveys articles focused on the binarization of metaheuristics designed for continuous optimization.

Original language	English
Article number	8404231
Journal	Complexity
Volume	2017
DOIs	https://doi.org/10.1155/2017/8404231
State	Published - 2017

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title = "Putting continuous metaheuristics to work in binary search spaces",

abstract = "In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces. These algorithmsmust be adapted to solve binary problems. This paper surveys articles focused on the binarization of metaheuristics designed for continuous optimization.",

author = "Broderick Crawford and Ricardo Soto and Gino Astorga and Jos{\'e} Garc{\'i}a and Carlos Castro and Fernando Paredes",

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AU - Astorga, Gino

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AU - Castro, Carlos

AU - Paredes, Fernando

PY - 2017

Y1 - 2017

N2 - In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces. These algorithmsmust be adapted to solve binary problems. This paper surveys articles focused on the binarization of metaheuristics designed for continuous optimization.

AB - In the real world, there are a number of optimization problems whose search space is restricted to take binary values; however, there are many continuous metaheuristics with good results in continuous search spaces. These algorithmsmust be adapted to solve binary problems. This paper surveys articles focused on the binarization of metaheuristics designed for continuous optimization.

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DO - 10.1155/2017/8404231

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SN - 1076-2787

VL - 2017

JO - Complexity

JF - Complexity

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Putting continuous metaheuristics to work in binary search spaces

Abstract

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