Differential Evolution (DE) has been extensively adopted for multi-objective optimization due to its efficient and straightforward framework. In DE, the mutation operator influences evolution of population. this paper, an adaptive Grid-based Multi-Objective is proposed address (ad-GrMODE). ad-GrMODE, grid environment employed perform a strategy in conjunction with performance indicators. The re...

There are many examples of adaptive molecular evolution in natural populations, but there is no existing method to verify which phenotypic changes were directly targeted by selection. The problem is that correlations between traits make it difficult to distinguish between direct and indirect selection. A phenotype is a direct target of selection when that trait in particular was shaped by selec...

The torque and flux ripple of traditional DTC control PMSM is large, due to the lack adaptive system, change system parameters has a great impact on steady transient performance motor speed. Based algorithm, parameter identification backstepping algorithm proposed in this paper. Because controller used replace PI hysteresis controller, steady-state obviously improved. At same time, designed, wh...

Abstract An improved genetic algorithm is proposed to solve the traveling salesman problem. On basis of traditional algorithm, greedy introduced initialize population. The parameters are adjusted adaptively from two aspects evolution algebra and individual fitness function value, which can speed up optimization prevent falling into local optimum. In mutation operation, adaptive used select oper...

A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the sense that the problem at a particular stage of evolution will choose the parameters automatically. This time dependent selection process was first developed in MOGA (mutation only genetic algorithm) [Szeto and Zhang, 20...

Microbial anti-cancer enzymes have been proven to be effective and economical agents for cancer treatment. Aeromonas veronii has been identified as a microorganism with the potential to produce L-glutaminase, an anticancer agent effective against acute lymphocytic leukaemia. In this study, a selective medium of Aeromonas veronii was used to culture the microorganism. Strain improvement was done...

We examine properties of adaptive walks on uncorrelated (i.e. random) fitness landscapes starting from moderately fit genotypes under strong selection weak mutation. As an extension of Orr's model for a single step in an adaptive walk under these conditions, we show that the fitness rank of the dominant genotype in a population after the fixation of a beneficial mutation is, on average, (i+6)/4...

The Generalized Generation Gap (G3) algorithm is one of the most efficient and effective state-of-the-art realcoded genetic algorithms (RCGAs) for unconstrained global optimization. However, its performance on multimodal optimization problems is known to be poor compared to unimodal optimization problems. The G3 algorithm currently relies on crossover operations only. The objective of this pape...