The paper present an application of evolutionary algorithms in environmental sciences. It describes the Anaerobic Digestion Process and a suitable mathematical model (Anaerobic Digestion Model No.1). The Anaerobic Dig...
详细信息
evolutionary algorithms are the stochastic optimization methods, simulating the behavior of natural evolution. These algorithms are basically population based search procedures efficiently dealing with complex search ...
详细信息
ISBN:
(纸本)9781849198462
evolutionary algorithms are the stochastic optimization methods, simulating the behavior of natural evolution. These algorithms are basically population based search procedures efficiently dealing with complex search spaces having robust and powerful search mechanism. EAs are highly applicable in multiobjective optimization problem which are having conflicting objectives. Resource optimization in computer network is an important research problem and it can be easily handled by the use of multiobjective optimization approach. This paper reviews the work carried out for optimization in network routing.
For the calibration of laser induced plasma spectrometers robust and efficient local search methods are required. Therefore, several local optimizers from nonlinear optimization, random search and evolutionary computa...
详细信息
Data-driven evolutionary algorithms (DDEAs) have attracted much attention in recent years, due to their effectiveness and advantages in solving expensive and complex optimization problems. In an offline data-driven ev...
详细信息
Present a corresponding point match algorithm based on "The Regulation of the Minimum Summation of Euclid Distance". This algorithm gives the regulation that makes the corresponding points match to the highe...
详细信息
ISBN:
(纸本)0780384075
Present a corresponding point match algorithm based on "The Regulation of the Minimum Summation of Euclid Distance". This algorithm gives the regulation that makes the corresponding points match to the highest accuracy according to the condition that the relative position is almost fixed for corresponding points in adjoining area if two images are acquired by means of multi-view. This match algorithm is realized by evolutionary programming. By experiment on PC, the result demonstrates that it can match the most corresponding points in low time cost.
Autonomous driving technology is poised to transform transportation systems, yet ensuring reliable and robust autonomous behavior remains a formidable challenge. This paper presents a simulation-based approach leverag...
详细信息
The idea of exploiting Global Sensitivity Analysis (GSA) to make evolutionary algorithms more effective seems very attractive: intuitively, a probabilistic analysis can prove useful to a stochastic optimisation techni...
详细信息
Recent years, RNA secondary structure prediction has attracted much attention of many researchers, which is an important way to grasp the biochemical function of RNA. However, it is very difficult to predict the RNA s...
详细信息
Quantum cascade laser (QCL) is a specific type of semiconductor laser that operates through principles of quantum mechanics. Because there is a genuine lack of compact and coherent devices which can operate in the far...
详细信息
Sequential learnable evolutionary algorithm (SLEA) provides an algorithm selection framework for solving the black box continuous design optimization problems. An algorithm pool consists of set of established algorith...
详细信息
暂无评论