A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems

Salcedo‐Sanz, Sancho; Pastor-Sánchez, A.; Gallo-Marazuela, D.; Portilla-Figueras, Antonio

doi:10.1007/978-3-642-41278-3_40

Cited by 16 publications

(13 citation statements)

References 6 publications

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“…The most recent ones are: Harmony Search (HS) optimization algorithm [39], Mine Blast Algorithm (MBA) [40], Symbiotic Organisms Search (SOS) [41], Soccer League Competition (SLC) algorithm [42], Seeker Optimization Algorithm (SOA) [43], Coral Reef Optimization (CRO) algorithm [44], Flower Pollination Algorithm (FPA) [45], and State of Mater Search (SMS) [46].…”

Section: Literature Reviewmentioning

confidence: 99%

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

Mirjalili

2015

Knowledge-Based Systems

3,754

1,692

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Section: Literature Reviewmentioning

confidence: 99%

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

Mirjalili

2015

Knowledge-Based Systems

3,754

1,692

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“…The algorithm convergence design is inspiration from ant food searching behavior. Another bio-inspired meta-heuristic technique for optimized placement of wind turbines by Coral Reef Optimization at off-shore is proposed [38]. This technique is based on artificial simulations of the coral reefs formation and reproduction process.…”

Section: ) Biologically Inspired Modeling Techniquesmentioning

confidence: 99%

Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

et al. 2020

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Due to intermittent nature of renewable energy sources (RESs) and their strong dependence on various environmental factors, it is imperative to carefully deploy these sources. A survey of recent works published in the area of optimal deployment of RESs is presented in this article. The existing works are categorized according to the type of energy source, objective function and model of operation. An optimal mix of hybrid-RESs along with energy storage system (ESS) is presented as solution to overcome the randomness and inconstancy of a single RES such as wind or solar power. We outline mathematical formulations for different objective functions, i.e., minimization of cost, maximization of power generation, maximization of the average cosine efficiency and minimization of the distribution losses. We present different wake models and simulation tools being used for the wind form layout optimization. These simulation tools are used to grade particular RESs according to technical and financial feasibility. This review paper depicts multifaceted coverage of the subject to provide the readers with state of the art developments in the area and can serve as a foundation for further research in the area. In addition, it can be used to find optimal mix of RESs for particular geographical area to satisfy the energy demands of that particular area. INDEX TERMS Renewable energy, placement optimization, positioning, wake models.

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“…The Coral Reef Optimization (CRO) is a novel heuristic approach based on the formation and reproduction of the coral reefs [35]. The main problem of corals is to find a place on the reef where they can settle and grow.…”

Section: Cro-based Oblivion Ratementioning

confidence: 99%