The intrinsic flammability of wood restricts its application in various fields. In this study, we constructed a phytic acid (PA)–silica hybrid system by vacuum-pressure impregnation process to improve flame retardancy and smoke suppression. was derived from simple mixture PA silica sol. Fourier transform infrared spectroscopy (FTIR) indicated an incorporation the molecules into network. Thermogravimetric (TG) analysis showed that greatly enhanced char yield 1.5% 32.1% (in air) thermal...

In differential evolution algorithm (DE), it is a widely accepted method that selecting individuals with higher fitness to generate mutant vector. this case, the population under fitness-based driving force. Although force beneficial for exploitation, sacrifices performance on exploration. paper, novelty-hybrid-fitness introduced trade off contradictions between exploration and exploitation of DE. new proposed DE, named as NFDDE, both novelty values are considered when choosing create...

In a canonical particle swarm optimization (PSO) algorithm, the fitness is widely accepted criterion when selecting exemplars for particle, which exhibits promising performance in simple unimodal functions. To improve PSO's on complicated multimodal functions, various selection strategies based value are introduced PSO community. However, inherent defects of fitness-based selections still remain. this paper, novelty treated as an additional choosing particle. each generation, few elites and...

This article presents a non-collision trajectory planning algorithm in three-dimensional space based on velocity potential field for robotic manipulators, which can be applied to collision avoidance among serial industrial robots and obstacles, path optimization multi-robot collaborative operation. The is achieved by joint velocities of manipulators attractive, repulsive, tangential field. To avoid oscillating at goal point, saturated function suggested the attractive that slows down...

An unsupervised segmentation method for synthetic aperture radar (SAR) images is proposed. It alternately approximates the maximization of posterior marginals estimate pixel class labels and estimates all model parameters except number classes during segmentation. In this method, a multilevel logistic (MLL) Gamma distribution marginal each in observed SAR image are employed. our implementation, expectation-maximization algorithm used to distributions, iterative conditional estimation MLL...

The human–computer interaction attribute of the interactive genetic algorithm (IGA) allows users to participate in product design process for which needs be evaluated, and requiring a large number evaluations would lead user fatigue. To address this issue, paper utilizes an XGBoost proxy model modified by particle swarm optimization graphical mechanism (GIM) construct improved (PXG-IGA), then PXG-IGA is applied 3D vase design. Firstly, shape has been designed using bicubic Bézier surface,...

The shape of a prestressed structure is sensitive to external errors/stimuli due its lightweight and high flexibility. When the distortion deemed unacceptable, adjustment nodal positions required. In this article, control modelled as multi-objective optimization problem. A novel genetic algorithm has been proposed solve algorithm, niche technique consisting crowding check filter process introduced ensure diversity population, simultaneously, accelerate revolution process. On basis ranking...

A conical area evolutionary algorithm (CAEA) is presented to further improve computational efficiencies of algorithms for bi-objective optimization. CAEA partitions the objective space into a number subregions and then solves scalar subproblem in each subregion that uses indicator as its objective. The local Pareto optimality solution with minimal proved. Experimental results on problems have shown offers significantly higher efficiency than multi-objective based decomposition (MOEA/D) while...

Interactive genetic algorithm (IGA) is an effective way to help users with product design optimization. However, in this process, need evaluate the fitness of all individuals each generation. It will cause users' fatigue when cannot find satisfactory products after multi-generation evaluations. To solve problem, improved interactive (IGA-KDTGIM) proposed, which combines K-dimensional tree surrogate model and a graphic interaction mechanism. In algorithm, built on basis historical evaluation...

Differential evolution (DE) and particle swarm optimization (PSO) are the evolutionary computation paradigms, both have shown superior performance on complex nonlinear function problems. This paper detects underlying relationship between them then qualitatively proves that two heuristic approaches from different theoretical background consistent in form. Within general perspective, PSO can be regarded as a kind of DE. Inspired by this, novel variant DE mixed with intelligence (DE-SI) is...

A three-phase induction motor used as a propulsion system for the electric vehicle (EV) is nonlinear, multi-input multi-output, and strong coupling system. For such complicated model with unmeasured unavoidable disturbances, well parameter variations, conventional vector control method cannot meet demands of high-performance control. Therefore, novel strategy named least squares support machines (LSSVM) inverse presented in paper. Invertibility constant<mml:math...

Community detection is a fundamental task in graph mining. Despite the fact that most of existing community methods are devoted to finding disjoint structure, communities often overlap with each other and recursively organized hierarchical structure many real-world networks. Also, overlapping has significant implications applications. Some few attempts suffer from problem obtained sensitive network changes as they based heavily on one-hop node proximity detect communities. To tackle this...

To overcome the problem of premature convergence on Particle Swarm Optimization (PSO), this paper proposes both improved particle swarm optimization methods (IPSO) based self-adaptive regulation strategy and Chaos Theory. Given effective balance particles’ searching development ability, is employed to optimize inertia weight. improve efficiency quality searching, learning factor optimized by generating Chaotic Sequences The method proposed in achieves better performance increases speed....

The conical area evolutionary algorithm (CAEA) has a very high run-time efficiency for bi-objective optimization, but it can not tackle problems with more than two objectives. In this letter, hypervolume (CHEA) is proposed to extend the CAEA higher dimensional objective space. CHEA partitions spaces into series of subregions and retains only one elitist individual every subregion within compact archive. Additionally, each offspring needs be compared in same terms local scalar indicator....

In order to solve and optimize the task virtual machine allocation strategy in cloud computing environment, firstly mathematical model, target of which is total running time, established, then a simulated annealing genetic hybrid algorithm proposed model. The integer coding, crossover operator, two kinds mutation operators selection mechanism based on are applied algorithm. experiments, three sets data used verify performance Cloudsim software. And experimental results show that series tasks...

A new evolutionary algorithm based on quantum statistical mechanics (QSEA) is raised in this paper. In the algorithm, whole system treated as a system, where coding adopted to express chromosomes, and superposition of bits used simulate linear state system. Quantum entropy energy have been defined by analogy with corresponding concepts mechanics. And competition between conflict dasiaselection pressurepsila dasiadiversity populationpsila, which helps keep delicate balance these two issues,...

In order to prompt the theoretical research and application of interactive genetic algorithm (IGA), framework for IGAOD (Interactive Genetic Algorithm Online Design) is developed from perspective software reuse commonness individuality IGA. This encapsulates basic commonality IGA, integrates some classic evolution operators provides visual scenarios data analysis charts help users quickly build their own IGA systems. addition, template design pattern can be used construct library, which a...

The basic tool in the analytic hierarchy process (AHP) is complete judgment matrix. To address weakness of AHP determining weight comprehensive evaluation system, particle swarm optimization (PSO)-AHP model proposed this paper based on PSO meta-heuristic algorithm. was used to solve indicator weights system AI education primary and secondary schools Fujian Province compared with genetic algorithm war strategy From comparison results, PSO-AHP more effective among three algorithms, consistency...