Individually these algorithms have some limitations. In this paper a new hybrid algorithm has been proposed, which is created by combining the techniques of GA ...
Abstract. The methods of searching optimal solutions are distinct in different evolutionary algorithms. Some of them do search by exploiting whereas others.
For example Genetic Algorithm (GA) is good in exploitation whereas the Environmental Adaption Method (EAM) performs well in exploring the whole search space.
GA-EAM Based Hybrid Algorithm. https://doi.org/10.1007/978-3-319-09333-8_2 ·. Journal: Intelligent Computing Theory Lecture Notes in Computer Science, 2014, ...
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We propose a Multi-Objective Shuffled Frog-Leaping Algorithm (MOSFLA) and Genetic Algorithm (GA) based task assignment and sequencing method
Jan 11, 2024 · This paper deals with the problem of selecting a set of clients that will receive an offer of one or more products during a promotional campaign.
Abstract: One of the main problems of machine learning and data mining is to develop a basic model with a few features, to reduce the algorithms involved in ...
Missing: EAM | Show results with:EAM
Based on the VPGA and the particle swarm optimization (PSO) algorithms, a novel PSO-GA-based hybrid algorithm (PGHA) is also proposed in this paper.
Missing: EAM | Show results with:EAM
Hybrid Algorithm Based on Genetic Simulated Annealing Algorithm for ...
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Jun 21, 2021 · To minimize the makespan, a hybrid algorithm based on GA and SA algorithm was adopted. In order to adapt to the complex multiproduct scheduling ...
Sep 25, 2024 · This paper presents a hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs).
Missing: EAM | Show results with:EAM