###### Abstract  
Simultaneous wireless information and power transfer (SWIPT) optimization with multiple objective function optimization is presented in the millimeter band in this paper. Three different objective functions that are used for harvest power (HP), capacity, and bit error rate (BER) were studied. There are three different nodes in real environment for wireless power transfer (WPT) and SWIPT. The channel estimation calculated by shooting and bouncing ray/image techniques includes multi-path, fading effect, and path-loss in the real environment. We applied beamforming techniques at the transmitter to focus the transmitter energy in order to reduce the multi-path effect and adjust the length of the feed line on each array element in order to find the extremum of the objective functions by the self-adaptive dynamic differential evolution (SADDE) method. Numerical results showed that SWIPT node cannot achieve good performance by single objective function, but wireless power transfer (WPT) can. Nevertheless, both WPT and SWIPT nodes can meet the criteria by the multiple objective function. The harvesting power ratio as well as the BER and capacity can be improved by the multiple objective function to an acceptable level by only reducing a little harvesting energy compared to the best harvesting energy for the single objective function. Finally, the multiple optimization function cannot merely provide good information quality for SWIPT node but achieve good total harvesting power for WPT and SWIPT node as well. energy harvesting; multi-objective function; evolution algorithm; channel capacity; wireless powered communication network (WPCN), simultaneous wireless information and power transfer (SWIPT) +
Footnote †: journal: Applied Soft  
In recent years, potential SWIPT applications have been investigated with the rapid development of mobile communication systems and the Internet of Things (IoT). The millimeter-wave SWIPT application is regarded as one of the best potential candidates for use in the future. There has been a wide array of millimeter-wave communications that can be used to support a wide bandwidth for applications with high data transmission and massive power accesses. Despite the potential of millimeter-wave application, there are many accompanying challenges that need to be investigated and solved. The high frequency will cause the path-loss and the shadowing effect in real environments. In particular, beamforming techniques using antenna arrays are suggested in order to conquer substantial depletion at a high regularity [17]. The work by [PERSON] and [PERSON] [7] researched the efficiency of mmWave substantial multiple-input multiple-output WPCNs with and without rain depletion. A dynamic energy splitting receiver was recommended to split the obtained signal with flexible power proportion for power harvesting and also information decoding [8]. [PERSON] and [PERSON] [9] examined a multiple-input multiple-output (MIMO) SWIPT system. Beamforming techniques were used for transmitting to the power and information receiver. In a study by [PERSON] et al. [12], multi object source allocation for protected interaction in cognitive radio networks was researched. Sources and tasks scheduling for the SWIPT IoT systems while focusing on reducing the power usage needed to guarantee the minimal ordinary information rate and task performance rate were presented by [PERSON] and [PERSON] [13]. However, most papers deal with the optimal analytic solution with the signal to noise ratio (SNR) constraint for narrow band signal transmission. For wide band signal transmission, the bit error rate performance should be considered in the wireless wideband communication system due to the frequency selective effect of the multipath channel and inter-symbol interference (ISI) instead of SNR only. In this paper, a wideband circular array is used to manufacture the array pattern in order to optimize the bit error rate (BER), capacity, and the energy harvesting efficiency by evolution algorithms.