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Most games have, or can be generalised to have, a number of parameters that may be varied in order to provide instances of games that lead to very different player experiences. The space of possible parameter settings can be seen as a search space, and we can therefore use a Random Mutation Hill Climbing algorithm or other search methods to find the parameter settings that induce the best games. One...
In this paper, we present an evolutionary algorithm to place VLSI elements based on evolutionary computing with multi-chromosomes. In addition, we present possible software implementation of the algorithm based on multithread CUDA programming, and report some experimental results of the suggested algorithm implementation.
The main issue of paper consist in proposing a few algorithms and control structures for PV grids which can increase predictability and flexibility degrees with respect to specific disturbances. The starting point of our model is the division of the PV grid in subgroups of optimal dimension and pairings that offer minimal variation between the quantity of energy needed and the one prognosticated....
Testing of safety-critical embedded systems is an important and costly endeavor. To date researchers and practitioners have been mainly focusing on the design and application of diverse testing strategies, but leaving the test stopping criteria as an ad hoc decision and an open research issue. In our previous work, we proposed a convergence algorithm that informs the tester when the current testing...
New algorithms are presented for the computation of good upper and lower bounds on the structured singular value μ, for high order plants subject to purely real or mixed real/complex uncertainty. A geometric form of the Hahn-Banach theorem is used to develop an algorithm for computing an upper bound on μ, involving a linear program and a symmetric eigenvalue problem at each iteration. A proof of convergence...
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
This paper intends to demonstrate use of Genetic Algorithm for solving fractional programming and which can be extended for DEA. Genetic Algorithm is one of the non-traditional algorithms for solving optimization problems. The multivariable fraction may have multiple optimum points. Genetic algorithm does not run the risk of getting trapped into the local minimum or maximum. The traditional optimization...
The present paper investigates the aerodynamic design of wind turbine blades while considering manufacturing constraints. Blade topologies achieved by unconstrained optimisation methods are likely to lose optimality after manufacturing simplifications are applied. The present paper proposes and evaluates the performance of an optimisation method for wind turbine blades while considering manufacturing...
High efficiency video coding (HEVC) standard, introduced by joint collaborative team on video coding (JCT-VC) is the newest international standard of video compression. This standard provides more compression and better video quality, compared to the previous standards such as H.264. The higher compression efficiency is obtained at the cost of an increase in the computational load. One of the portions...
Gravitational Search Algorithm (GSA) is a population-based optimization algorithm based on Newton's law of gravity and the notion of mass interactions. GSA has the advantage of proper global search ability. However, it suffers from weak local search due to relatively big step-size of agents in the search process. In order to improve the balance between exploration and exploitation of GSA, two mechanisms...
Uncertainty in connection requests arrivals and departures brings forth inefficient resource allocation of online RWA heuristics for dynamic lightpath provisioning. Thereby, periodic re-optimization can play invaluable role in improving resource utilization of WDM networks. This paper investigates network re-optimization carried in two consequent phases: a) finding new wavelength assignment for a...
A complex product is generally a system composed of numerous interdependent components, each one representing specific disciplines and developed using associated expertise. When analysing the problem from another point of view, we can see that for each design domain, a generally huge set of real already designed elements exists. Thus, when constructing a new element, it is interesting to use this...
We discuss the scenario of developing an optimizer for a given space of problem instances. Standard practice typically resorts to choosing a broad approach (such as evolutionary search), then tuning the optimizer based on example problem instances, and/or hybridizing with domain-specific heuristics and expert knowledge. This will lead to a capable optimizer for the task, but we argue that the delivered...
In this 21st century people are looking for faster and efficient actions in each and every activities they involved. In this modern world, shopping is an inseparable & essential activity. But in reality it creates lot of stress and utilizes not only our time but also energy. Nowadays all kind of shops are available together in a location, but still confusion and unnecessary wandering are unavoidable...
A great number of dimensionality reduction methods are finally reduced to solving generalized eigenvector problems. Optimization techniques are promising ways to solve the parameter selection problems in these dimensionality reduction methods. The most important step in these optimization methods is to compute the objective function with respect to the parameter, which depends on computing the gradient...
There are many factors affect the stability of reservoir slopes, each of them is associated and coupled with others. Generally, the analysis of slopes stability can be achieved by the method of effect-factors analogy and cluster analysis. Traditional cluster analysis is difficult to obtain the stable global optimal solution, since the results are sensitive to the initial cluster center and the order...
The goal of image segmentation is to cluster pixels into salient image regions, it is the most significant step in image analysis. Thresholding is a simple but effective tool to separate objects from the background, which is one of the most popular algorithms. The artificial bee colony algorithm (ABC) is a recently presented meta-heuristic algorithm, which has been successfully applied to solve many...
Ant two-way parallel searching strategy is adopted to accelerate searching speed, but it is clearly seen that this tactic loses some feasible paths and even loses optimal path, so a new ants meeting judgment method is proposed in this paper. At the same time pheromone gain is added to allocate initial pheromone reasonably in order to deal with slow searching speed brought by equivalence distributing...
The artificial bee colony algorithm is a swarm intelligence optimization algorithm inspired by the intelligent foraging behavior of honeybees. In this paper, modified ABC algorithms are proposed for numerical optimization. We have compared the performance of our ABC approach against the basic ABC algorithm, results show that the proposed methods have somewhat improved the convergence rate and global...
Airport ground services management are about the scheduling of each airport ground services equipment for the purpose of improving traffic control services, strengthening the operation and management, ensuring the normal operation of flights. We define a function of staff number and work time and establish a mathematical model. And the random weight method is introduced to solve this multi-objective...
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