The power of each sensor node in wireless sensor networks for signal detection applications is scarce and limited. Thus, the allocation of power resource of a node should make the detection performance of the whole network maximum, which is complex due to the detection probability of the whole system cannot be expressed explicitly. The ant colony optimization algorithm is good at solving multid...

Abstract The ant colony optimization algorithm is a classical swarm intelligence algorithm, but it cannot be used for continuous class problems. A (ACOR) proposed to overcome this difficulty. Still, some problems exist, such as quickly falling into local optimum, slow convergence speed, and low accuracy. To solve these problems, paper proposes modified version of ACOR called ADNOLACO. There an ...

Within the sport of cricket it is common practice for players to tap the blade of a bat with a hard wood mallet or cricket ball to gauge its potential playing performance. This subjective assessment can produce contradictory opinions on the same bat. The aim of this study was to investigate the reliability of the ‘tapping’ test in rating the potential performance of cricket bats. This was done ...

The popularity of Wireless Sensor Networks (WSN) has increased tremendously in recent time due to growth in Micro-Electro-Mechanical Systems (MEMS) technology. Wireless sensor networks (WSNs) with hundreds to thousands of sensor node can gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user terminal. These sensor nodes h...

In this paper, ant colony optimization for continuous domains (ACOR) based integer programming is employed for size optimization in a hybrid photovoltaic (PV)–wind energy system. ACOR is a direct extension of ant colony optimization (ACO). Also, it is the significant ant-based algorithm for continuous optimization. In this setting, the variables are first considered as real then rounded in each...