the vehicle routing problem with simultaneous pickup and delivery (vrpspd) is a well-known combinatorial optimization problem which addresses provided service to a set of customers using a homogeneous fleet of capacitated vehicles. the objective is to minimize the distance traveled. the vrpspd is an np-hard combinatorial optimization problem. therefore, practical large-scale instances of vrpspd...

The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum. One of the ways inaccurate optimization is meta-heuristics so that Inspired by nature, ...

background: acute appendicitis is one of the common and urgent illnesses among children.  children usually are unable to help the physicians completely due to weakness in describing the medical history. moreover, acute appendicitis overlaps with conditions of other diseases in terms of symptoms and signs in the first hours of presentation. these conditions lead to unwanted biases as well as err...

Meta-heuristic methods are global optimization algorithms which are widely used in the engineering issues, nowadays. The main problem with the classical optimization algorithms is their slow rate of convergence to time-consuming mathematical calculations. In this paper, a new stochastic search for optimization is presented using variable variance Guassian distribution sampling. The main idea of...

Simplified Dolphin Echolocation (SDE) optimization is an improved version of the Dolphin Echolocation optimization. The dolphin echolocation (DE) is a recently proposed metaheuristic algorithm, which was imitated dolphin’s hunting process. The global or near global optimum solution modeled as dolphin’s bait, dolphins send sound in different directions to discover the best bait among their searc...

This paper presents a robust hybrid improved dolphin echolocation and ant colony optimization algorithm (IDEACO) for optimization of truss structures with discrete sizing variables. The dolphin echolocation (DE) is inspired by the navigation and hunting behavior of dolphins. An improved version of dolphin echolocation (IDE), as the main engine, is proposed and uses the positive attributes of an...

To find the global extremum invited several families of heuristic algorithms based on both the theory of finite-dimensional optimization, and optimal control theory [1]. As one of the basic, most reliable and informative technology, we consider a family of algorithms that implement the idea of random multistart. The technology includes four algorithms for generating random admissible controls, ...

High performance computing applied to competitive facility location and design problems: single and multi-objective optimization algorithms A mis padres, a mi hermano y a Manu Agradecimientos En primer lugar me gustaría agradecer a mis tres supervisores, Dra. D Prefacio La localización de servicios pretende encontrar el emplazamiento de uno o más centros Esta tesis, " High performance computing...

augmented downhill simplex method (adsm) is introduced here, that is a heuristic combination of downhill simplex method (dsm) with random search algorithm. in fact, dsm is an interpretable nonlinear local optimization method. however, it is a local exploitation algorithm; so, it can be trapped in a local minimum. in contrast, random search is a global exploration, but less efficient. here, rand...