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As technology continues to advance, algorithms have become an integral part of our everyday lives. From the moment we wake up and check our phones to the moment we go to bed, algorithms are working…
As technology continues to advance, algorithms have become an integral part of our everyday lives. From the moment we wake up and check our phones to the moment we go to bed, algorithms are working…
As technology continues to advance, algorithms have become an integral part of our everyday lives. From the moment we wake up and check our phones to the moment we go to bed, algorithms are working…
Stock price prediction is considered a strategic and challenging issue in the stock markets. Considering the complexity of stock market data and price fluctuations, the improvement of effective approaches for stock price prediction is a crucial and essential task. Therefore, in this study, a new model based on “Adaptive Neuro-Fuzzy Inference System (ANFIS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)” is employed to predict stock price accurately. ANFIS has been utilized to predict stock price trends more precisely. PSO executes towards developing the vector, and GA has be...
Both the quadratic semi-assignment problem and the berth allocation problem are about assigning items (vessels) to sets (berths) and have various applications from floor layout planning to schedule synchronization in public transit networks and maritime logistics. In this paper, a hybrid, modular solution strategy, in which an adaptive improvement technique is embedded into a genetic algorithm, is proposed and has been applied to both problems. For the purpose of self-adaptivity, all important parameters of the procedure are embedded in the employed genomes and evolve while the procedure is ex...