Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review

Energy costs are the key factors regarding the selection of appropriate renewable energy (RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance, and repair are considered in the scope of levelized costs. Therefore, for the effective determination of the selling price of the energy, levelized cost has a guiding role. Because the levelized costs of RWG alternatives develop the sustainable production and energy consumption for the long term, the leading indicators of these costs should be analyzed significantly. Accordingly, in this study, it is aimed to investigate the levelized cost of RWG alternatives by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty of this study is to recommend an integrated decision-making model based on bipolar and q-ROFSs with golden cut. At the first stage, bipolar q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) is employed for weighting the selected criteria of levelized costs of RWG alternatives. At the following stage, bipolar q-ROF technique for order preference by similarity to ideal solution (TOPSIS) is considered to rank the alternatives in terms of the levelized cost performance. On the other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) model is also considered to rank the alternatives. In addition to this issue, the sensitivity analysis is also performed with four cases comparatively. Hence, consistency, reliability and coherency of the proposed model can be measured. It is identified that capacity loss has the greatest importance regarding the levelized cost of RWG projects. Solar is found as the best clean energy type with respect to the levelized cost management performance. In this context, it would be appropriate for investors to design projects close to the center. This will contribute to increasing the efficiency and productivity of these projects.

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“…Equations ( 21)-( 23) demonstrate the details. In these equations, the large and small quantities are shown as a and b [8].…”

Section: 𝑆𝑆(𝜗𝜗) 𝐵𝐵 𝐼𝐼mentioning

confidence: 99%

“…With the help of these new implementations, uncertainty in decision-making process can be handled more effectively. Also, this situation has a powerful impact on the originality of the proposed model [8].…”

Section: Introductionmentioning

confidence: 99%

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Yüksel

Dınçer

et al. 2022

IEEE Access

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“…In a review conducted by Omar et al [1], the spiral dynamics optimization (SDO) algorithm was comprehensively reviewed. It is well-known that SDO algorithm is one of the most straightforward physics-based optimization algorithms and it is successfully applied in various broad fields.…”

Section: Brief Overview Of the Contributionsmentioning

confidence: 99%

Advances in Optimization and Nonlinear Analysis

Treanţă

2022

Fractal Fract

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“…Researchers have developed various optimization algorithms using different spiral trajectories such as Archimedes spiral, Cycloid spiral, Epitrochoid spiral, Hypotrochoid spiral, Logarithmic spiral, Rose spiral, Inverse spiral, and Overshoot spirals [43]. Despite all these trajectories being fast in computation, due to inadequate exploration of the search space, this technique eventually converges to the local optimum value [44,45]. It is worth mentioning here that the most commonly used spiral trajectory is the logarithmic spiral.…”

Section: Remodeled Sperm Swarm Optimization Algorithm (Rmsso) Constri...mentioning

confidence: 99%

Hardware Implementation of a Home Energy Management System Using Remodeled Sperm Swarm Optimization (RMSSO) Algorithm

Ramalingam

Shanmugam

2022

Energies

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A remodeled sperm swarm optimization (RMSSO) algorithm for a home energy management (HEM) system is proposed, and its real-time efficacy was evaluated using a hardware experimental model. This home environment comprised sixteen residential loads, a smart meter and a Raspberry Pi controller to optimize the energy consumption cost (ECC) in response to the Indian day-ahead pricing (DAP) scheme. A wired/wireless communication network was considered to communicate with the smart meter and controller. To address this optimization problem, the sperm swarm optimization (SSO) algorithm’s constriction coefficient was remodeled to improve its global searching capability and proposed as RMSSO. For the first time, salp swarm optimization (SSA), SSO, and RMSSO algorithms were employed to schedule home appliances in the Indian scenario. To validate the proposed technique’s outcome, the results were compared to those of the conventional SSO and SSA algorithms. This problem was solved using the Python/GUROBI optimizer tool. As a consequence, consumers can use this control strategy in real-time to reduce energy consumption costs.

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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review

Cited by 16 publications

References 117 publications

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Advances in Optimization and Nonlinear Analysis

Hardware Implementation of a Home Energy Management System Using Remodeled Sperm Swarm Optimization (RMSSO) Algorithm

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