This paper primarily presents a comprehensive dynamic layout design model which integrates layout and transportation system design via considering more realistic assumptions, such as taking account of fixed-position departments and distance between departments that endanger each other. In addition, specific criteria such as capacity, cost and reliability of facilities are considered in transpor...

This paper proposes a new mixed-integer model for the multi-skill resource-constrained project scheduling problem (MSRCPSP). The interactions between workers are represented as undirected networks. Therefore, for each required skill, an undirected network is formed which shows the relations of human resources. In this paper, community detection in networks is used to find the most compatible wo...

Quadrotor UAVs are one of the most preferred types small unmanned aerial vehicles, due to their modest mechanical structure and propulsion precept. However, complex non-linear dynamic behavior Proportional Integral Derivative (PID) controller in these vehicles requires advanced stabilizing control movement. Additionally, locating appropriate gain for a model-based is relatively demands signific...

due to the fact that the error surface of adaptive infinite impulse response (iir) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. in this case, global optimization techniques are required in order to avoid the local minima. harmony search (hs), a musical inspired metaheuristic, is a recently ...

In the past few years nature-inspired algorithms are experiencing rapid growth where most optimisation problems in different domains addressed using it. As a result of this development come issue handling complex problem within short period remains very difficult. Symbiotic organisms search (SOS) algorithm is one metaheuristics that mimics symbiotic association an ecosystem. This paper proposes...

This paper presents a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO), for optimization. This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies having specified masses and velocities, these bodies are separated with new ...

In this paper we introduce a two phase hyper-heuristic search method for solving the Eternity II puzzle. Eternity II is a challenging money prized edge matching puzzle. Solving the puzzle has been shown to be NP-complete [2]. Hyper-heuristics [1] are a recent trend in heuristic algorithms. They tend to be more general methods than meta-heuristics for solving optimization problems. Hyper-heurist...

Abstract: In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented. The proposed meta-heuristic is based on a cloud of particles whose central point represents the objective function value and the remaining particles act as sensors "to fill" the search space and "guide" t...