The National Conference for Postgraduate Research 2016, Universiti Malaysia Pahang 824 White Hole-Black Hole Algorithm Suad Khairi Mohammed Faculty of Electrical and Electronics Engineering University Malaysia Pahang Pahang, Malaysia suad.khairim@gmail.com Zuwairie Ibrahim Faculty of Electrical and Electronics Engineering University Malaysia Pahang Pahang, Malaysia zuwairie@ump.edu.my Hamdan Daniyal Faculty of Electrical and Electronics Engineering University Malaysia Pahang Pahang, Malaysia hamdan@ump.edu.my address Nor Azlina Ab. Aziz Faculty of Engineering and Technology Multimedia University 75450 Melaka, Malaysia azlina.aziz@mmu.edu.my Abstract ــــThis paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algorithm (WH-BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH. Keywords—Nature-inspired algorithm, White hole, CEC2014. 1. INTRODUCTION Every technological process has to achieve optimality in terms of time and complexity, and this led the researchers to design and obtain best possible or better solutions. In previous studies, several mathematical solutions were provided by various researchers to solve optimization problems. The complexity of the proposed mathematical solutions is very high, which requires an enormous amount of computational work. Therefore, alternative solutions with lower complexity are appreciated. With this quest, nature- inspired solutions are developed such as GSA [1], BHA [2] and PSO [3].