Kolkata, India
Kolkata, India

Jadavpur University or JU is a premier public research university located in urban metropolitan city of Kolkata, West Bengal.It has two campuses: the main campus at Jadavpur and the new campus at Salt Lake, approximately 12.6 kilometres and 8.8 kilometres from the city centre respectively. A third campus is due to open at the site of the erstwhile National Instruments , opposite the main campus along the Raja S.C. Mullick Road. Wikipedia.

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Basu M.,Jadavpur University
Applied Soft Computing Journal | Year: 2011

Economic environmental dispatch (EED) is an important optimization task in fossil fuel fired power plant operation for allocating generation among the committed units such that fuel cost and emission level are optimized simultaneously while satisfying all operational constraints. It is a highly constrained multiobjective optimization problem involving conflicting objectives with both equality and inequality constraints. In this paper, multi-objective differential evolution has been proposed to solve EED problem. Numerical results of three test systems demonstrate the capabilities of the proposed approach. Results obtained from the proposed approach have been compared to those obtained from pareto differential evolution, nondominated sorting genetic algorithm-II and strength pareto evolutionary algorithm 2. © 2010 Elsevier B.V. All rights reserved.

Basu M.,Jadavpur University
International Journal of Electrical Power and Energy Systems | Year: 2012

This paper presents artificial immune system algorithm for solving the combined heat and power economic dispatch problem. Artificial immune system is based on the clonal selection principle which implements adaptive cloning, hypermutation, aging operator and tournament selection. The proposed algorithm is illustrated for a test system and the test results are compared with those obtained from particle swarm optimization and evolutionary programming. © 2012 Elsevier Ltd. All rights reserved.

Das S.,Jadavpur University | Suganthan P.N.,Nanyang Technological University
IEEE Transactions on Evolutionary Computation | Year: 2011

Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the current-generation population members with the scaled differences of randomly selected and distinct population members. Therefore, no separate probability distribution has to be used for generating the offspring. Since its inception in 1995, DE has drawn the attention of many researchers all over the world resulting in a lot of variants of the basic algorithm with improved performance. This paper presents a detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far. Also, it provides an overview of the significant engineering applications that have benefited from the powerful nature of DE. © 2010 IEEE.

Chakraborty S.,Jadavpur University
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2012

In this brief communication, we have studied the validity of the first law of thermodynamics for the universe bounded by event horizon with two examples. The key point is the appropriate choice of the temperature on the event horizon. Finally, we have concluded that universe bounded by the event horizon may be a Bekenstein system and Einstein's equations and the first law of thermodynamics on the event horizons are equivalent. © 2012.

Basu M.,Jadavpur University
International Journal of Electrical Power and Energy Systems | Year: 2013

Dynamic economic dispatch deals with the scheduling of online generator outputs with predicted load demands over a certain period of time so as to operate an electric power system most economically. This paper proposes a hybrid methodology integrating bee colony optimization with sequential quadratic programming for solving dynamic economic dispatch problem of generating units considering valve-point effects. This hybrid method incorporates bee colony optimization as a base level search which can give a good direction to the optimal region and sequential quadratic programming as a local search procedure which is used to fine tune that region for achieving the final solution. Numerical results of a ten-unit system have been presented to demonstrate the performance and applicability of the proposed method. The results obtained from the proposed method are compared with those obtained from hybrid of particle swarm optimization and sequential quadratic programming and hybrid of evolutionary programming and sequential quadratic programming. © 2012 Elsevier Ltd. All rights reserved.

Basu M.,Jadavpur University
International Journal of Electrical Power and Energy Systems | Year: 2014

This paper presents an improved differential evolution to determine the optimal hourly schedule of power generation in a hydrothermal system. Differential evolution (DE) exploits the differences of randomly sampled pairs of objective vectors for its mutation process. Consequently the variation between vectors will outfit the objective function toward the optimization process and therefore provides efficient global optimization capability. However, although DE is shown to be precise, fast as well as robust, its search efficiency will be impaired during solution process with fast descending diversity of population. This paper proposes Gaussian random variable instead of scaling factor which improves search efficiency. The algorithm is tested on two test problems and three hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point loading. The ramp-rate limits of thermal generators are taken into consideration. The transmission losses are also accounted for through the use of loss coefficients. The results of the proposed approach are compared with those obtained by other evolutionary methods. It is found that the improved differential evolution based approach is able to provide better solution. © 2013 Elsevier Ltd. All rights reserved.

Chakraborty S.,Jadavpur University
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2014

A model of an emergent universe is formulated using the mechanism of particle creation. Here the universe is considered as a non-equilibrium thermodynamical system with dissipation due to particle creation mechanism. The universe is chosen as spatially flat FRW space-time and the cosmic substratum is chosen as perfect fluid with barotropic equation of state. Both first and second order deviations from equilibrium prescription are considered and it is found that the scenario of emergent universe is possible in both the cases. © 2014 .

Giri B.C.,Jadavpur University
International Journal of Production Economics | Year: 2011

In this paper, we consider a single-product single-period inventory model in which the retailer can source from two suppliers. The primary supplier is cheaper but unreliable in the sense that it generates supply yield uncertainty, whereas the secondary supplier is perfectly reliable but more expensive. The reliable supplier's capacity is fixed and the retailer cannot order more than the quantity reserved in advance. We study the problem in the context of a risk-averse retailer who has to determine the optimal order quantity from the primary supplier and the optimal reserved quantity from the secondary supplier. We develop the model in the perspective of a low risk averse retailer and quantify the risk via an exponential utility function. We show by numerical experiments how the resulting dual sourcing strategies differ from those obtained in the risk-neutral analysis. We also examine the sensitivity of some model-parameters on the optimal decisions. © 2010 Elsevier B.V. All rights reserved.

Chatterjee D.,Jadavpur University
IEEE Transactions on Industrial Electronics | Year: 2012

Accurate knowledge about the leakage inductance at different flux levels is required for the correct identification of the magnetizing curve of the induction machine. Its exact value is also necessary for the estimation of various other parameters required for high performance control. This paper proposes a simple technique to identify the leakage inductance of the machine at different flux levels by operating it near the torque limit. The leakage inductance is stored in the processor memory as a function of the rotor magnetizing current through the piecewise mixed model of approximation for online application. Different experiments performed on a practical machine validate the proposed concept. © 2011 IEEE.

Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.4.3-1 | Award Amount: 4.08M | Year: 2014

The CAERUS consortium aims to identify humanitarian relief actions that pave the way for human development and stability in post-conflict societies. Why have some countries successfully escaped the cycle of violence and conflict where others seem to be trapped? What has been the specific role of national, international and particularly European post-conflict relief action and development cooperation in these cases? This project will undertake humanitarian policy analysis on a global and regional scale, examining ways in which these policies support or undermine development and international security. It will also implement population-based studies in key crises-affected areas to obtain field evidence. Research will focus on health and educational policies. Many crises and conflicts entail a substantial degradation in human and social capital, creating barriers to post-conflict recovery and stabilization. The instant re-establishment of access to primary and secondary education, as well as to basic health services, is vital as these are tangible peace dividends. Offering young people real opportunities aside from warfare, and lowering the burden of disease and mortality in war-torn populations dries up the breeding ground of violence and conflict. Moreover, it potentially lowers migratory pressure towards the European Union from post-conflict societies. In addition, the CAERUS project seeks to detect barriers to provision of basic services in post-conflict settings. It will also assess how European technologies, especially field telecommunications and mobile laboratory capacities, can be used to increase timeliness and effectiveness of service provision in remote areas. These activities will, at the same time, increase European capacities to respond to outbreaks of rare and emerging diseases with pandemic potential. The consortium involves partners from Belgium, Norway, the Netherlands, Austria, United Kingdom and India.

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