A novel multi-objective Interactive Coral Reefs Optimization algorithm for the Unequal Area Facility Layout Problem

García-Hernández, Laura; Salas-Morera, Lorenzo; Carmona-Muñoz, Carlos; Abraham, Ajith; Salcedo‐Sanz, Sancho

doi:10.1016/j.swevo.2020.100688

Cited by 15 publications

(15 citation statements)

References 65 publications

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“…The Coral Reefs Optimization algorithm (CRO) is a type of evolutionary technique proposed in [34,35] that has been successfully applied in several optimization problems [36][37][38][39][40][41][42]. The CRO uses a n × m grid R (i.e., the coral reef), where each square (denoted by its coordinates (i,j)) can host a candidate solution to the problem x (i.e., a coral).…”

Section: Evolutionary Meta-heuristic Proposed: the Coral Reefs Optimization Algorithmmentioning

confidence: 99%

Optimal Generation Scheduling in Hydro-Power Plants with the Coral Reefs Optimization Algorithm

et al. 2021

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Hydro-power plants are able to produce electrical energy in a sustainable way. A known format for producing energy is through generation scheduling, which is a task usually established as a Unit Commitment problem. The challenge in this process is to define the amount of energy that each turbine-generator needs to deliver to the plant, to fulfill the requested electrical dispatch commitment, while coping with the operational restrictions. An optimal generation scheduling for turbine-generators in hydro-power plants can offer a larger amount of energy to be generated with respect to non-optimized schedules, with significantly less water consumption. This work presents an efficient mathematical modelling for generation scheduling in a real hydro-power plant in Brazil. An optimization method based on different versions of the Coral Reefs Optimization algorithm with Substrate Layers (CRO) is proposed as an effective method to tackle this problem. This approach uses different search operators in a single population to refine the search for an optimal scheduling for this problem. We have shown that the solution obtained with the CRO using Gaussian search in exploration is able to produce competitive solutions in terms of energy production. The results obtained show a huge savings of 13.98 billion (liters of water) monthly projected versus the non-optimized scheduling.

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Section: Evolutionary Meta-heuristic Proposed: the Coral Reefs Optimization Algorithmmentioning

confidence: 99%

Optimal Generation Scheduling in Hydro-Power Plants with the Coral Reefs Optimization Algorithm

et al. 2021

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“…However, it is not applicable to rely on only one optimization objective to obtain all the products. García et al [31] combined an adaptive strategy and a variable neighborhood search to help solve the plant layout design. At the moment, the multi-objective genetic algorithms with the consideration of several factors are significantly applied to address the facility layout problem [32].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Plant Layout Design for End of Life Vehicle Recycling and Disassembly Industry Based on SLP Method, a Typical Case in China

Wang

Fan

et al. 2021

IEEE Access

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End of life vehicle (ELV) is a significant renewable resource with enormous economic value and environmental value. New regulation promulgated by the State Council of PRC has been implemented since June 2019, allows main assemblies of ELV can be sold to remanufacture enterprises, which dramatically prompts more enterprises to invest in the recycling industry. According to the technological recovery characteristics of ELV, the system layout design (SLP) method is briefly applied to arrange the plant facility layout of ELV recycling and disassembly enterprise. The relationship between logistics and non-logistics was firstly analyzed, and the operating unit correlation diagram of location and area were presented correspondingly. Then, through further modification and adjustment, the feasible layout scheme was obtained, and the reasonable general layout of the plant area was determined by using the weighted factor method. As a critical functional unit of the factory area, the detailed planning and design of the disassembly and shredding workshop were further presented. A detailed facility layout and logistics route of the disassembly and shredding workshop are finally proposed according to the obtained correlation diagram of the operating unit area based SLP, which has been implemented in a recycling company in Changsha, a typical case in China. Combined with the theoretical techniques of statistics, intelligent algorithms, and logistics analysis under the background of modern green production and sustainable manufacturing, this work can provide a new approach for plant layout design and optimization for ELV recycling and disassembly industry.INDEX TERMS end of life vehicle, recycle and disassembly, plant facility layout, sustainable design, SLP.

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“…Moreover, in recent years, qualitative aspects have been taken into account too [9][10][11] with the aim of incorporating expert human knowledge into the design [12]. These qualitative aspects can be related to the relative position between facilities, aesthetic aspects, or personal subjective preferences of the designers, based on their personal background and experience, and can be previously known or simply appear during the algorithm evolution process, or they can even change during the execution time [13].…”

Section: Introductionmentioning

confidence: 99%

A Multi-User Interactive Coral Reef Optimization Algorithm for Considering Expert Knowledge in the Unequal Area Facility Layout Problem

Salas-Morera¹,

García-Hernández²,

Carmona-Muñoz³

2021

Applied Sciences

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The problem of Unequal Area Facility Layout Planning (UA-FLP) has been addressed by a large number of approaches considering a set of quantitative criteria. Moreover, more recently, the personal qualitative preferences of an expert designer or decision-maker (DM) have been taken into account too. This article deals with capturing more than a single DM’s personal preferences to obtain a common and collaborative design including the whole set of preferences from all the DMs to obtain more complex, complete, and realistic solutions. To the best of our knowledge, this is the first time that the preferences of more than one expert designer have been considered in the UA-FLP. The new strategy has been implemented on a Coral Reef Optimization (CRO) algorithm using two techniques to acquire the DMs’ evaluations. The first one demands the simultaneous presence of all the DMs, while the second one does not. Both techniques have been tested over three well-known problem instances taken from the literature and the results show that it is possible to obtain sufficient designs capturing all the DMs’ personal preferences and maintaining low values of the quantitative fitness function.

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A novel multi-objective Interactive Coral Reefs Optimization algorithm for the Unequal Area Facility Layout Problem

Cited by 15 publications

References 65 publications

Optimal Generation Scheduling in Hydro-Power Plants with the Coral Reefs Optimization Algorithm

Optimal Generation Scheduling in Hydro-Power Plants with the Coral Reefs Optimization Algorithm

Sustainable Plant Layout Design for End of Life Vehicle Recycling and Disassembly Industry Based on SLP Method, a Typical Case in China

A Multi-User Interactive Coral Reef Optimization Algorithm for Considering Expert Knowledge in the Unequal Area Facility Layout Problem

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