A new population-based search algorithm called the Bees Algorithm (BA) is presented. The algorithm mimics the food foraging behaviour of swarms of honey bees. In its basic version, the algorithm performs a kind of neighbourhood search combined with random search and can be used for both combinatorial optimisation and functional optimisation. This paper focuses on the latter. Following a descrip...

This paper proposes Hybrid SFL-Bees Algorithm that combines strengths of Shuffled Frog Leaping Algorithm (SFLA) and Bees Algorithms (BA). While SFLA can find optimal solutions quickly because of directive searching and exchange of information, BA has higher random that make it easily escape local optima to find global solutions. Thus Hybrid SFL-Bees Algorithm is able to find optimal solutions q...

objective(s):previous studies demonstrated a functional similarity between vertebrate and honey bee nervous systems. the aim of the present study was to compare the effects of heroin and iranian street kerack, a combination of heroin and caffeine, on sensory threshold and locomotor activity in honey bees. materials and methods: all drugs were given orally to honey bees 30 min before each experi...

Artificial bee colony is a population-based search algorithm that mimics a natural behavior of real honey bees to find rich food sources to obtain maximum quantity of nectar and share the information of food sources with other bees in the hive. This paper concerns primarily about how to use artificial bee colony to solve examination timetabling problems which it is known as a NP-hard problem. I...

This paper presents optimal coordination of overcurrent relays by using artificial bees colony algorithm. The objective function of the relay coordination problem is to minimize the operation time of associated relays in the systems. The control variables used in this paper are the pickup current and time dial setting of relays. The proposed method was tested with four systems study consists 5-...

Renewable energy sources are developed worldwide, owing to high oil prices and in order to limit greenhouse gas emissions. The objective of this research was to study the feasibility of biodiesel production from mountain almond (Prunus Scoparia) oil using ultrasonic system and optimization of the process using Artificial Bees Colony (ABC) Algorithm. The results showed that by increasing the mol...

Honey bee colonies depend on pollen and nectar from flowers for their feed. The act of searching this by the bees is called foraging. foraging behaviour depends profitability sources as well needs colony. This modeled into an algorithm Foraging Bee Optimization Algorithm (FBA). After initialization, loops through three phases based bees’ nature 3W: Waggle, Work, Withdraw. A large number are ini...

this paper presents a fault location technique for transmission lines with minimum current measurement. this algorithm investigates proper current ratios for fault location problem based on thevenin theory in faulty power networks and calculation of short circuit currents in each branch. these current ratios are extracted regarding lowest sensitivity on thevenin impedance variations of the netw...

Due to sporadic climate change and global warming, world have signed international protocols promising to reduce their nation's emissions. This study focuses on the application of the bees algorithm, embedded with an artificial neural network, to determine practical yearly reductions for minimizing oil, natural gas, and coal emissions as by-products of energy consumption in Canada's manufacturi...