Multimodal optimization aims at finding multiple global and local optima (as opposed to a single solution) of a function, so that the user can have a better knowledge about different optimal solutions in the search space and as and when needed, the current solution may be switched to another suitable one while still maintaining the optimal system performance. Evolutionary Algorithms (EAs) due t...

Our main objective in this article is to achieve minimum side lobe levels for a specific first null beam-width and also a minimum size of the circumference by an optimization-based design method for non-uniform, planar, and circular antenna arrays. Our approach is based on a new variant of Particle swarm Optimization technique. This new technique is a hybrid of Local Neighborhood based PSO with...

In this paper a new Modified Invasive Weed Optimization is proposed to find a parameters of fuzzy PID controller as a stabilizer in multi-machine power system. Actually, IWO is a bio-inspired numerical algorithm which is inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. Also, finding the parameters of PID controller in po...

This paper presents the investigations on the application of evolutionary algorithms particle swarm optimization (PSO) and invasive weed optimization (IWO) to find approximate solutions of optimal control problems. For this purpose, discrete form of the problem is converted to a quasi assignment problem, considering a partition of the time-control space. The approximate optimal control function...

the dynamic facility layout problem (dflp) is the problem of finding positions of departments onthe plant floor for multiple periods (material flows between departments change during the planning horizon)such that departments do not overlap, and the sum of the material handling and rearrangement costs isminimized. in this paper a new optimization algorithm inspired from colonizing weeds, invasi...

Clustering is an unsupervised learning method that is used to group similar objects. One of the most popular and efficient clustering methods is K-means, as it has linear time complexity and is simple to implement. However, it suffers from gets trapped in local optima. Therefore, many methods have been produced by hybridizing K-means and other methods. In this paper, we propose a hybrid method ...

This paper presents a novel technique for the synthesis of unequally spaced linear antenna array. The modified Invasive Weed Optimization (IWO) algorithm is applied to optimize the antenna element positions for suppressing peak side lobe level (PSLL) and for achieving nulls in specified directions. The novelty of the proposed approach is in the application of a constraint-based static penalty f...

Manufacturing plants are commonly organized in cells containing machines that process different parts of a given product. The Manufacturing Cell Design Problem (MCDP) aims at efficiently organizing the machines into cells in order to increase productivity by minimizing the inter-cell moves of parts. In this paper, we present a new approach based on Invasive Weed Optimization (IWO) for solving s...

Heuristic optimization provides a robust and efficient approach for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier. The convergence rate and suitable diversity of solutions are of great importance for multi-objective evolutionary algorithms. The focu...

Minimum cross-entropy is widely used in image segmentation for its effectiveness. However, when the algorithm applied to multi-threshold segmentation, there are some problems such as large amount of calculation, time-consuming and poor practicability due exhaustive search optimal threshold. Therefore, this paper, a hybrid whale optimization (IWOA) which incorporates (WOA) invasive weed (IWO) pr...