Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2016 Springer International Publishing Switzerland

Cervical-Spine

Handling Lower Bound and Hill-Climbing Strategies for Sphere Packing Problems,rmine a minimum length of the container that contains all available spheres/items without overlapping. Such a length is searched by applying a tree search that combines hill-climbing and bounding strategies. All branches of the tree are created following eligible positions associated to successive i

Galactogogue

不連貫

Dispersive Flies Optimisation and Medical Imaging,new metaheuristic—Dispersive Flies Optimisation (DFO)—whose inspiration is beckoned from the swarming behaviour of flies over food sources in nature. The simplicity of the algorithm facilitates the analysis of its behaviour. A series of experimental trials confirms the promising performance of the o

dainty

An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptations investigated in the paper. In DGP genotypes (the search space) and phenotypes (the solution space) are distinguished and a genotype-to-phenotype mapping (GPM) is used. Thus, genotypes are evolved without any restrictions and the whole search space is explored. RCPSP is a well-known NP-hard problem

GRIPE

Bayesian-Based Approach to Application of the Genetic Algorithm to Localize the Abrupt Atmospheric algorithm input data are the on-line incoming concentrations of released substance registered by sensors network. The proposed reconstruction algorithm is firstly adjusted and tested based on the data from the synthetic experiment. The proposed GA scan 5-dimensional parameters space searching for th

ASSAY

Synthesis of Self-Adaptive Supervisors of Multi-Task Real-Time Object-Oriented Systems Using Develoble of keeping optimality of the system in spite of disruptions that may occur dynamically in time of the system work. A representative example of creation of a supervisor of building a house illustrates the procedure. Efficiency of the procedure from the point of view of self-adaptivity of the supervisor is investigated.

Infinitesimal

Estimation of Edge Infection Probabilities in the Inverse Infection Problem,n coefficients of these functions have to be estimated. We are going to evaluate our method on artificially created infection scenarios. Our main points of interest are the accuracy and stability of the estimation.

Excitotoxin

Direct Shooting Method for Optimal Control of the Highly Nonlinear Differential-Algebraic Systems,thod was tested on the mathematical model of the fed-batch fermentor for penicillin production process, which is a highly nonlinear multistage differential-algebraic system. The numerical simulations were executed in MATLAB environment using Wroclaw Center for Networking and Supercomputing.

人類學(xué)家

Multi-Objective Meta-Evolution Method for Large-Scale Optimization Problems,ealised applying the particle swarm optimization algorithm, while the core of the meta-evolution process is implemented by means of the multi-objective evolutionary algorithm. The advantages and limitations of the proposed meta-evolution method were examined employing well-practised test functions described in the literature.

官僚統(tǒng)治

An Efficient Solution of the Resource Constrained Project Scheduling Problem Based on an Adaptationof the evolution is to find a procedure constructing the best solution of the problem for which the cost of the project is minimal. The paper presents new evolution process for the DGP as well as a comparison with other genetic approaches. Experimental results showed that our approach gives significantly better results compared with other methods.