The goal of a generic evolutionary multi- or many-objective algorithm is to explore a search space and find the trade-off optimal solutions for two or more conflicting objectives. In platform-based practical design op...
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This study investigates the decentralized linear-quadratic (LQ) problem with a certain block structure and group sparsity structure. First, a nonconvex optimization problem with group 0 penalty is formulated for the f...
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In recent decades, large-scale optimization has received significant research attention;however, most of these studies have not considered problems with functional constraints. The introduction of constraints signific...
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Chaotic Evolution (CE) is a significantly faster and more robust method for solving single-objective and multi-objective optimization problems. However, there are various factors that can impact the performance of CE,...
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The research offers a unique coevolution-based many-objective optimization (MaOO) approach to benefit from the underlying parallelism of the evolutionary process. The proposed MaOO handles individual objectives in par...
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The importance of the UAV path-planning problem lies in ensuring the safe and efficient completion of tasks by UAVs while maximizing resource utilization and minimizing risks. Addressing this issue, a new algorithm na...
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Decision-optimisation problems are ubiquitous in all areas of production practice. The predominant methodology for their resolution is the abstraction of the problem into a mathematical model, followed by the applicat...
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With the wide application of UAVs, the scenarios have become more complex, and UAV tasking is facing more *** of all, a heterogeneous multi-UAV collaborative multi-tasking assignment model is constructed, which includ...
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The Whale optimization Algorithm (WOA) is a revolutionary meta-heuristic area dedicated to intelligent issue exploration and optimization. The communal foraging activities of humpback whales inspired this evolutionary...
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In wireless sensor networks (WSN), data collection is a crucial and complex issue. Especially when the objective function is unknown, designing an effective data collection optimization algorithm has become a huge cha...
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