Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm

Nazari-Shirkouhi, Salman; Eivazy, H.; Ghodsi, Reza; Rezaie, Kamran; Atashpaz-Gargari, Esmaeil

doi:10.1016/j.eswa.2010.04.081

Cited by 168 publications

(86 citation statements)

References 23 publications

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“…Having a good search capacity in addition to a powerful exploitation strategy renders this method very advantageous in identifying the global optimal solution [35]. Figure 3 shows the generic flowchart of the ICA, wherein the optimization commences by generating a candidate set of random solutions in the search space of the defined problem.…”

Section: Imperialist Competitive Algorithmmentioning

confidence: 99%

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

2016

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Abstract:In this study, the design and simulation of a combination of a photovoltaic (PV) array with an alkaline electrolyzer is performed to maximize the production of hydrogen as a reliable power resource. Detailed electrical model of PV system, as long as thermal and electrochemical model of electrolyzer is used. Since an electrolyzer is a non-linear load, its coupling with PV systems to get the best power transfer is very important. Solar irradiation calculations were done for the region of Miami (FL, USA), giving an optimal surface slope of 25.7˝for the PV array. The size of the PV array is optimized, considering maximum hydrogen production and minimum excess power production in a diurnal operation of a system using the imperialistic competitive algorithm (ICA). The results show that for a 10 kW alkaline electrolyzer, a PV array with a nominal power of 12.3 kW The results show that 12.3 kW photvoltaic system can be utilized for supplying a 10 kW electrolyzer. Hydrogen production and Faraday efficiency of the system are 697.21 mol and 0.3905 mol, respectively.

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Section: Imperialist Competitive Algorithmmentioning

confidence: 99%

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

2016

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“…Figure 4 shows that the direction of movement is the vector from colony to imperialist, where d is the distance between the colony and imperialist and x is a random variable with uniform distribution. Figure 5 shows the displacement of colony and imperialist [33,34]. …”

Section: Imperialist Competitive Algorithm (Ica)mentioning

confidence: 99%

A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm

Goodarzi

Kazemi

2017

Energies

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Microgrids are small scale power systems with local resources for generation; consumption and storage, that can operate connected to the main grid or islanded. For the islanding operation of microgrids, two important tasks are to share the load demand and maintain the voltage and frequency stabilities. In order to achieve this goal, a hierarchical control structure can be employed. This research presents a solution technique for finding the optimal site, production and droop coefficients of distributed generation (DG) units in microgrids. In this paper, three main factors are scrutinized through a multi-objective optimization approach. These factors include fuel consumption cost, stability and variations of voltage. To solve this optimization problem, an Imperialist Competitive Algorithm-Genetic Algorithm (ICA-GA) is presented. A fuzzy approach is used to search in non-dominated outcomes and to find the best answer. To show the effectiveness of the proposed method, it is implemented on 33-buses IEEE test systems. The simulation results exhibit the ability and efficiency of the proposed scheme to find the optimal solutions.

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“…This algorithm is brie y explained below and detailed descriptions and applications can be found in [35][36][37][38][39]. In this algorithm, the number of countries is considered to form a population and the optimization process starts with a random initial population.…”

Section: Imperialist Competitive Algorithm (Ica)mentioning

confidence: 99%

Optimization of Hedging Rules for Hydropower Reservoir Operation

Sasireka

Neelakantan

2017

Scientia Iranica

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Abstract. Reservoir operation plays an important role in economic development of a region. Hedging operations were used for municipal, industrial, and irrigation water supplies from reservoirs in the past. However, hedging operation for hydropower reservoir operation is very rare. A practically simple and useful new form of Standard Operation Policy and a new form of hedging rules for hydropower production are introduced in this paper and demonstrated with a case study for hydropower reservoir operation of Indirasagar reservoir system in India. The performance of optimal hedging rules is compared with that of a new standard operation policies and the superiority (reliability increases by about 10%) of the hedging rules is demonstrated. When the number of decision variables is increased from 5 to 15, energy production increases by 0.7%, the spill is reduced by 16.8%, and reliability slightly decreases by 2.1%. A bi-level simulation-optimization algorithm is used for optimizing the hedging rules. For optimization, Genetic Algorithm, arti cial bee colony algorithm, and imperialistic competitive algorithms are utilized. The results indicate that all the three algorithms are competitive and arti cial bee colony algorithm is marginally better than the other two.

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Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm

Cited by 168 publications

References 23 publications

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

Optimal Operation of Combined Photovoltaic Electrolyzer Systems

A Novel Optimal Control Method for Islanded Microgrids Based on Droop Control Using the ICA-GA Algorithm

Optimization of Hedging Rules for Hydropower Reservoir Operation

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