In this paper, the dietary collocation method based on multi-objective evolutionary algorithm will be introduced. Firstly, the dietary collocation problem based on multi-objective evolution is described, the recipe st...
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Ever since the early 1960s, several swarm optimization techniques have been developed, ranging from the most recent to dynamic algorithms. Each of the above techniques is effective at tackling various nonlinear equati...
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This paper examines a special class of nonlinear programming problems. The problem is characterized by 1) nonlinearity of the objective function and functions defining constraints of the equality type;2) large dimensi...
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A novel Diversity Actuate Adaptive Particle Swarm optimization (DAAPSO) algorithm is introduced to enhance convergence speed and address premature convergence challenges in particle swarm optimization. Integrating an ...
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This paper studies the machine learning optimization algorithm of new energy scheduling system, aiming at improving the system's peak load balancing ability and operation efficiency. Firstly, this paper introduces...
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The simulated annealing algorithm is a widely employed optimization technique in machine learning, known for its ability to identify globally optimal solutions through a stochastic objective function. To broaden its a...
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The Crayfish optimization Algorithm (COA) is a new metaheuristic algorithm that has been proposed in recent years. While it has a strong local search ability, its global search ability is weak. this paper presents an ...
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Multimodal optimization is a very difficult task to search for all optimal solutions at once in optimization problems with multiple optimal solutions. Speciation using proximity graphs has been proposed for multimodal...
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As the counterpart to conventional reliability optimization problems (ROP), the cost minimization reliability optimization problem (CMROP) plays a critical role within the domain of ROPs. Given the escalating demands ...
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The economic dispatch problem (EDP) is crucial in optimizing and controlling power systems. As modern power system become more complex, traditional centralized communication methods are becoming less reliable. Therefo...
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