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An improved constraint handling technique based on a comparison mechanism is presented, and then it is combined with selection operator in differential evolution to fulfill constraint handling and selection simultaneously. A differential evolution with two mutation strategies based on this new constraint handling technique is developed to solve the linear bilevel programming problems. The simulation...
Iterative clipping and filtering (ICF) is a well-known technique to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. Recently, Wang and Luo investigated the clipped signal and proposed a modified algorithm called optimized ICF (OICF). This is an optimal algorithm since it can achieve the required PAPR reduction with minimum in-band distortion...
The design of distributed algorithms and techniques allowing for an efficient utilisation of infrastructure in terms of energy consumption is one of the key challenges in heterogeneous networks or HetNets. In this study the energy efficiency in the HetNet scenario is formulated as an optimisation problem and an iterative improvement algorithmic approach to power on-off of network cells is devised...
In this paper, we propose a variant of the QAP-based facility layout problem: the exclusion facility layout problem (EFLP). Based on Ant Colony algorithm, we design the modified ant algorithm for solving the facility layout problem (FLP). In addition, we also design the ant algorithm for EFLP by increasing the operator of making solution feasible. Analyze the impact of the different parameters values...
This paper addresses on design of an optimal proportional integral derivative (PID) controller by applying Lyapunov approach. The optimal PID controller is acquired through minimizing an augmented integral squared error (AISE) performance index that contains control error and at least first order error derivative, and even may contain n orders error derivative. The order of error derivative is determined...
This paper presents a hybrid evolutionary algorithm to solve mixed-integer nonlinear bilevel programming problems, in which integer decision variables are controlled by an upper-level decision maker and real-value (continuous) decision variables are controlled by a lower-level decision maker. This hybrid evolutionary algorithm contains the mutation operator used in the differential evolution, the...
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