Wasps, bees, ants and termites all make effective use of their environment and resources by displaying collective “swarm” intelligence. Termite colonies – for instance build nests with a complexity far beyond the comprehension of the individual termite, while ant colonies dynamically allocate labor to various vital tasks such as foraging or defense without any central decision-making ability. R...

Wasps, bees, ants and termites all make effective use of their environment and resources by displaying collective “swarm” intelligence. Termite colonies – for instance build nests with a complexity far beyond the comprehension of the individual termite, while ant colonies dynamically allocate labor to various vital tasks such as foraging or defense without any central decision-making ability. R...

Heating, ventilation, and air conditioning (HVAC) systems are the second largest energy consumers on cruise ships after propulsion system. As a kind of HVAC system, active chilled beam (ACB) have been widely used for cabin service due to their performance efficiency good thermal comfort. However, conventional control strategies ships’ ACB not intelligent enough cannot balance consumption comfor...

Meta-heuristic algorithms have been effectively employed to tackle a wide range of optimisation issues, including structural engineering challenges. The the shape and size large-scale truss structures is difficult due nonlinear interplay between cross-sectional nodal coordinate pressures structures. Recently, it was demonstrated that newly proposed Marine Predator Algorithm (MPA) performs very ...

Swarm intelligence (SI) is widely and successfully applied in the engineering field to solve practical optimization problems because various hybrid models, which are based on the SI algorithm and statistical models, are developed to further improve the predictive abilities. In this paper, hybrid intelligent forecasting models based on the cuckoo search (CS) as well as the singular spectrum anal...

Two forms (soluble and membrane-bound) of alkaline phosphatases (ALPs) were found in the brown planthopper, Nilaparvata lugens. In order to further study ALPs in N. lugens, two putative ALP genes (Nl-ALP1 and Nl-ALP2) were identified in this pest. Both Nl-ALP1 and Nl-ALP2 show approximately the same degree of sequence identity (40-50%) to other insect soluble and membrane-bound forms of ALP. Co...

Abstract A newly hybrid algorithm is proposed based on the combination of seeker optimization and particle swarm optimization. The a double population evolution strategy, populations individuals are evolved from separately. employ an information sharing mechanism to implement coevolution. enhances individuals’ diversity averts fall into local optimum. compared with optimization, simulated annea...

The main purpose of blasting operation is to produce desired and optimum mean size rock fragments. Smaller or fine fragments cause the loss ore during loading transportation, whereas large coarser need be further processed, which enhances production cost. Therefore, accurate prediction fragmentation crucial in operations. Mean fragment (MFS) a index that measures goodness designs. Over past dec...

This paper solves the problem of cooperative path planning multiple unmanned surface vehicles (USVs) for search and coverage tasks in water environments. Firstly, taking pollutants as an example, information concentration map is built to predict diffusion pollutants. Secondly, we propose a region division method based on Voronoi diagram, which divides assigns it each vehicle (USV). Then, basis ...

To address the difficulty in calculating nonlinear equation of time difference arrival (TDOA) positioning, as well problem measurement error hybrid arrival/angle (TDOA/AOA) positioning algorithm, an improved sparrow search algorithm is proposed to optimize and optimization mechanism retained on basis improving performance original algorithm. The maximum likelihood estimation method used calcula...