It is necessary for the management of any industry to workout an intermediate range plan also known as aggregate production plan, consistently with the long range policies and resources allocated by long range decisions. It is a procedure of translating the expected demand and production capacity of the available facilities into future manufacturing plans for a family of products. It includes decisions on production quantity, work force and inventory to workout a low cost product and timely delivery. Ant colony optimization algorithm finds its extensive application in solving job shop scheduling, assignment problems, transportation problems, etc. Genetic algorithms are proposed to solve the problem, already by the authors. In this paper, an attempt is made to solve an aggregate production-planning problem for obtaining an effective solution using ant colony algorithm. Also a hybrid algorithm that combines genetic algorithm and ant colony algorithm is proposed and its effectiveness over the models developed using genetic algorithms and ant colony algorithm is also analyzed.

Summary In this paper, load frequency control of photovoltaic (PV)‐thermal‐thermal interconnected three area power system is proposed with fuzzy gain scheduling controller. Grid‐connected PV power system has quick rising annual rate and is rapidly becoming a significant part of the energy balance in the power systems. Reduction in the PV modules cost increases the application of PV. In recent days, increase in load demand necessitates the interconnected power systems. Power quality concerning frequency plays a major role in life and efficiency of the load. The fuzzy logic controller is an efficient controller to deal with the unknown data; in the LFC, the load demand is unpredictable; hence, fuzzy is applied for LFC in this analysis. Proportional integral (PI) controller plays a significant role in real‐time LFC. Therefore, in this article, fuzzy gain scheduling controller is proposed to tune gains of PI controller to improve performance of interconnected power systems. To validate the performance of proposed system, it is compared with the conventional PI controller‐based LFC. The entire system is analyzed using Matlab with various loads.

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