2014
DOI: 10.1155/2014/739768
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The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems

Abstract: This paper presents a novel bioinspired algorithm to tackle complex optimization problems: the coral reefs optimization (CRO) algorithm. The CRO algorithm artificially simulates a coral reef, where different corals (namely, solutions to the optimization problem considered) grow and reproduce in coral colonies, fighting by choking out other corals for space in the reef. This fight for space, along with the specific characteristics of the corals' reproduction, produces a robust metaheuristic algorithm shown to b… Show more

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Cited by 152 publications
(98 citation statements)
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References 51 publications
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“…A multi-method ensemble CRO-SL is the algorithm used to optimized the proposed antenna. This algorithm is an advanced version of a basic original version of the CRO [18]. The CRO is an evolutionary-type algorithm in which the search operators are based on the processes occurring in a coral reefs, including reproduction, fight for space, or depredation [19].…”
Section: Antenna Optimization: the Cro-sl Algorithmmentioning
confidence: 99%
“…A multi-method ensemble CRO-SL is the algorithm used to optimized the proposed antenna. This algorithm is an advanced version of a basic original version of the CRO [18]. The CRO is an evolutionary-type algorithm in which the search operators are based on the processes occurring in a coral reefs, including reproduction, fight for space, or depredation [19].…”
Section: Antenna Optimization: the Cro-sl Algorithmmentioning
confidence: 99%
“…The Coral Reefs Optimization (CRO) Algorithm [49] is an evolutionary algorithm based on the behavior of a coral reef that has been applied to a number of energy applications [50,51]. Let R be the reef represented by an R 1 Â R 2 grid, where each position ði; jÞ of R is able to allocate a coral or a colony of corals, C i;j .…”
Section: The Basic Coral Reefs Optimization Algorithmmentioning
confidence: 99%
“…Furthermore, other heuristic solvers with innovative operators will be also investigated (e.g. Coral Reefs Optimization [25]). …”
Section: Conclusion and Future Research Linesmentioning
confidence: 99%