To overcome the shortcomings of low accuracy that traditional least square method (LSM) inevitably produces, this paper introduces an improved adaptive genetic algorithm (IAGA) to handle the aforementioned prob
Research on Solving Planning Models Using an Improved Adaptive Genetic Algorithm 2024, Proceedings - 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 20241 CMF is an abbreviation formed from the initial letters of three filters: Classification Error Impuri...
Tang HC.An Improved Adaptive Genetic Algorithm. KNOWLEDGE DISCOVERYAND DATA MINING . 2012Tang HC.An Improved Adaptive Genetic Algorithm.KNOWLEDGE DISCOVERYAND DATA MINING. 2012Liu Shuting. and Jin Taidong. “An improved adaptive genetic algorithm,” (in China), Location Science, pp. 127-128, ...
In this study, human reproduction mode was introduced into genetic algorithm and an improved adaptive genetic algorithm based on human reproduction mode for solving 0/1 knapsack problem was presented. The genetic operators of this algorithm included selection operator, help operator, adaptive crossover ...
In this paper, based on a simple genetic algorithm and combine the base ideology of orthogonal design method then applied it to the population initialization, using the intergenerational elite mechanism, as well as the introduction of adaptive local search operator to prevent trapped into the local ...
In this study, the integration of an adaptive hybrid of differential evolution and particle swarm optimization (A-DEPSO) with adaptive neuro fuzzy inference system (ANFIS) model is adopted for EC prediction. The A-DEPSO method uses unique mutation and crossover processes to correspondingly boost ...
To solve the problem of early convergence, this study introduces a novel variant known as the adaptive seagull optimization algorithm. The performance of the suggested algorithm is improved by increasing the seagulls' inclination towards exploratory behaviour93. Qusai-random sequences are employed for ...
In this paper, a new enhanced WOA (EWOA), which adopts an improved dynamic opposite learning (IDOL) and an adaptive encircling prey stage, is proposed to overcome the problems. IDOL plays an important role in the initialization part and the algorithm iterative process of EWOA. By evaluating ...
An adaptive genetic algorithm is a type of evolutionary computing algorithm that uses genetic operations such as reproduction, crossover, and mutation to train the weights of an adaptive controller in active noise and vibration control systems without the need for accurate secondary path modelling. AI...
An improved genetic algorithm (GA) based on software agent design to minimise the makespan is presented. The paper proposes using an inherent characteristic of software agents to create a new perspective in GA design. To verify the developed metaheuristic, computational experiments are conducted on a...