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Purpose – To improve the performance of the krill herd (KH) algorithm, in this paper, a series of chaotic particle-swarm krill herd (CPKH) algorithms are proposed for solving optimization tasks within limited time requirements. The paper aims to discuss these issues. Design/methodology/approach – In CPKH, chaos sequence is introduced into the KH algorithm so as to further enhance its global search ability. Findings – This new method can accelerate the global convergence speed while preserving the strong robustness of the basic KH. Originality/value – Here, 32 different benchmarks and a gear train design problem are applied to tune the three main movements of the krill in CPKH method. It has been demonstrated that, in most cases, CPKH with an appropriate chaotic map performs superiorly to, or at least highly competitively with, the standard KH and other population-based optimization methods. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to establish the optimization model and solve the short-term economic dispatch of cascaded hydro-plants. Design/methodology/approach – An improved particle swarm optimization (IPSO) approach is proposed to solve the short-term economic dispatch of cascaded hydroelectric plants. The water transport delay time between connected reservoirs is taken into account and it is easy in dealing with the difficult hydraulic and power coupling constraints using the proposed method in practical cascaded hydroelectric plants operation. The feasibility of the proposed method is demonstrated for actual cascaded hydroelectric plant. Findings – The simulation results show that this approach can prevent premature convergence to a high degree and keep a rapid convergence speed. Research limitations/implications – The optimal values of parameters in the proposed method are the main limitations where the method will be applied to the economic operation of the hydro-plant. Practical implications – The paper presents useful advice for short-term economic operations of the hydro-plant. A new optimization method to solve the short-term optimal generation scheduling is proposed. The optimal generation power and water discharge during the whole dispatching time for hydro-plant operation can be obtained. Originality/value – The IPSO method is realized by maintaining high diversity of the swarm during the optimization process and preventing premature convergence. [ABSTRACT FROM AUTHOR]