As a nonlinear, non-convex and large scale optimization problem including both continuous and discrete control variables, security-constrained optimal power flow (SC-OPF) is one of the most important power system problems which need a superior optimization technique to be effectively solved. Inspired by the mating process of honey bees, honey bee mating optimization (HBMO) is a recently invente...

The broad of applicability, ease of use, and global perspective of so-called meta-heuristic algorithms may be considered as the primary reason for their extensive application and success as search and optimization tools in various problem domains. Honey bees are among the most well-studied social insects. Their mating process may also be considered as a typical swarm-based approach to optimizat...

pumps are among the early instruments invented by humans to be taken advantage of in the use of water utilities. design and operation problem of pumping stations is a type of mixed integer non linear programming, in which gradient based optimization methods are not efficient for solving complex problems of this type. in this regard, such evolutionary optimization algorithms as genetic algorithm...

Mobile Ad hoc networks (MANETs) are composed of mobile stations communicating through wireless links, without any fixed backbone support. In these networks, limited power energy supply, and frequent topology changes caused by node mobility, makes their routing a challenging problem. TORA is one of the routing protocols that successfully copes with the nodes’ mobility side effects, but it do...

Mobile Ad hoc networks (MANETs) are composed of mobile stations communicating through wireless links, without any fixed backbone support. In these networks, limited power energy supply, and frequent topology changes caused by node mobility, makes their routing a challenging problem. TORA is one of the routing protocols that successfully copes with the nodes’ mobility side effects, but it do...

Today using evolutionary programing for solving complex, nonlinear mathematical problems like optimum power flow is commonly in use. These types of problems are naturally nonlinear and the conventional mathematical methods aren’t powerful enough for achieving the desirable results. In this study an Optimum Power Flow problem solved by means of minimization of fuel costs for IEEE 30 buses test s...

Small scale wind turbines can be used in indoor facilities that are mainly either stand-alone or gridconnected systems. With grid contiguous turbines, the output from the wind turbine is directly connected to the existing mains electricity supply. For this purpose Improved Honey Bee Mating Optimization (IHBMO) technique is considered as an optimization algorithm to power system. Also the wind f...

Improved version of Honey Bee Mating Optimization (IHBMO) algorithm is developed and applied for Unit Commitment Problem (UCP) in this paper. Actually, the optimal solution of the nonlinear scheduling problem is important and it has complex computational optimization process. This problem is a challenging undertaking to accommodate variations in the power system, especially when several thermal...

Social Spider Optimization (SSO) algorithm is a swarm intelligence optimization algorithm based on the mating behavior of social spiders. Numerical simulation results have shown that SSO outperformed some classical swarm intelligence algorithms such as Particle Swarm Optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm and so on. However, there are still some deficiencies abou...