Whale Optimization Algorithm with Applications to Power Allocation in Interference Networks

  title={Whale Optimization Algorithm with Applications to Power Allocation in Interference Networks},
  author={Yongwen Du and Xiquan Zhang and Wenxian Zhang and Zhangmin Wang},
  journal={Inf. Technol. Control.},
Power allocation plays a pivotal role in improving the communication performance of interference-limitedwireless network (IWN). However, the optimization of power allocation is usually formulated as a mixed-integernon-linear programming (MINLP) problem, which is hard to solve. Whale optimization algorithm (WOA)has recently gained the attention of the researcher as an efficient method to solve a variety of optimizationproblems. WOA algorithm also has the disadvantages of low convergence accuracy… Expand

Figures and Tables from this paper


A comprehensive survey: Whale Optimization Algorithm and its applications
An overview of WOA is described in this paper, rooted from the bubble-net hunting strategy, besides an overview ofWOA applications that are used to solve optimization problems in various categories. Expand
Integrating the whale algorithm with Tabu search for quadratic assignment problem: A new approach for locating hospital departments
This work employs Tabu Search to improve the quality of solution obtained by WA for QAP problem as a local search algorithm in an attempt to improved the convergence speed and local search of WA as its main drawbacks. Expand
Multi-Objective Modified Grey Wolf Optimization Algorithm for Efficient Spectrum Sensing in the Cognitive Radio Network
The proposed MOMGWO algorithm has outperformed the existing algorithms with respect to the quality of the Pareto front and can be obtained via the best solutions for the spectrum sensing parameters in optimizing multi-objective problems for cognitive radio network. Expand
IWOA: An improved whale optimization algorithm for optimization problems
Improved WOA is hybridized with differential evolution (DE) which has good exploration ability for function optimization problems and therefore provides a promising candidate solution and is named Improved WOA. Expand
A balanced whale optimization algorithm for constrained engineering design problems
Abstract In this study, two novel effective strategies composed of Levy flight and chaotic local search are synchronously introduced into the whale optimization algorithm (WOA) to guide the swarm andExpand
Optimizing connection weights in neural networks using the whale optimization algorithm
The qualitative and quantitative results prove that the proposed WOA-based trainer is able to outperform the current algorithms on the majority of datasets in terms of both local optima avoidance and convergence speed. Expand
The Whale Optimization Algorithm
Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods. Expand
Joint Information- and Jamming-Beamforming for Physical Layer Security With Full Duplex Base Station
This paper designs joint information beamforming and jamming beamforming to guarantee both transmit security and receive security for a full-duplex base-station (FD-BS) and strictly proves that such a relaxation does not change the optimality for these subproblems. Expand
The Exploration/Exploitation Tradeoff in Whale Optimization Algorithm
Experimental results show that the optimization effect of NCS-Arcsin is stronger than that of LCS and other NCS, which can significantly improve the optimize performance of WOA. Expand
Energy Efficient Secure Communication Over Decode-and-Forward Relay Channels
The proposed scheme for the case with statistical eavesdropper's CSI, may be conditionally extended to the scenario with full CSI in which a local optimal solution may be obtained in certain cases, where the tradeoff between secure EE and secrecy rate is also revealed. Expand