[PDF] Top 20 An inflationary differential evolution algorithm for space trajectory optimization

... an algorithm, or to define the appropriate setting, in particular in the case of automatic adaptation of some key ...the algorithm repeatedly samples the same region but never re-samples the same ... See full document

... archived differential evolution algorithm is put forward by means of embedding a flexibility processing operator and an efficiency processing operator based on original DE and ...search space, ... See full document

... Genetic Algorithm based on Random Forest (GARF) [6] was proposed for oesophageal cancer ...more space to store the ...Swarm Optimization (MHBPSO) algorithm [8] was proposed for improved ... See full document

... proposed algorithm FiADE has produced better results for all the problems in the electromagnetic test-suite compared to all of its competitors and it has done so consuming lesser number of fitness function ... See full document

... There are 8 different global optimization problems, including 4 uni-modal functions (f1-f4) and 4 multi- modal functions (f5-f8) in this experimental study. These functions are collected from Ref. [14]. The ... See full document

... Extremal Optimization, Differential Evolution and Particle Swarm ...Hybrid Differential Evolution Particle Swarm Optimization (DEPSO) gives accurate optimum solutions by ... See full document

... Differential Evolution Algorithm is proposed by Kenneth Price and Rainer Storn in 1995 ...continuous space functions. This algorithm is a very simple population–based search method and ... See full document

... Starting from the successful results of AIDEA, this paper introduces a multi-population version of AIDEA (MP-AIDEA), using different strate- gies to create the mutant vector of the DE, different strategies to adapt CR ... See full document

... introducing differential evolution and particle swarm ...color space segmentation, the algorithm in this paper can effectively find the global optimum, and avoid error split, and get more ... See full document

... public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic ...swarm optimization PSO, ant colony optimization ACO, ... See full document

... optimizer. Differential evolution (DE) originally proposed by STORN and PRICE [17] was one of the most simple and powerful population-based evolutionary algorithms for global ...(CADE) algorithm ... See full document

... Objective optimization is one of the most popular research directions in evolutionary algorithms, and it is also closest to practical engineering ...of differential evolution algorithm, many ... See full document

... presented in Algorithm 5, when all populations performed a local search for the first time and at every global restart. During initialisation the distance between all the local min- ima in the archive A is ... See full document

... Spacecraft Trajectory Optimization Problem) is excluded from the ...best algorithm of the competition, on function 13 for a number of function evaluations greater than the limit prescribed by the CEC ... See full document

... differential evolution algorithm has a flaw, that is to say, it can only generate one vertex of the super rectangle ...of differential evolution algorithms are appropriated for the ... See full document

... DE algorithm, if an individual is not selected the information of that individual is lost, but TS algorithm has memory ...DE algorithm the new candidate solution is generated randomly from the ...a ... See full document

... and optimization problems are becoming progres- sively more complex, and there is the clear need to create and implement more effective and efficient search ...of Differential Evolution (DE)[2], the ... See full document

... Genetic Algorithm (GA) introduced by John Holland in 1975 [2, 3], is a search optimiza- tion algorithm based on the mechanics of the natural selection ...this algorithm is to mimic the concept of the ... See full document

... It is also evident that more and more researchers lean towards the development of algorith- mic processes that exhibit strong adaptive behaviour and provide more information than just the PF approximation at the end of ... See full document

... The optimization results can change the value of PSS and CES parameters which can also cause oscillation on the ...The optimization results show that this method is effective enough to damp the oscillation, ... See full document