Aug 28, 2014 · The objective of this problem is to find a small number of large blocks containing structural similarities or equivalences among entities in a ...
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The objective of this problem is to find a small number of large blocks containing structural similarities or equivalences among entities in a given graph ...
An evolutionary approach and a swarm intelligence approach for theBlockmodel problem, which consists of a steady-state grouping genetic algorithm (GA) and ...
In this chapter, we introduce a new metaheuristic approach called multiobjective electric fish optimization (MOEFO).
Metaheuristic optimization techniques have been proposed as stochastic algorithms to solve optimization problems where classical methodologies are not ...
Jun 27, 2024 · Metaheuristics are called problem independent approaches which attempts to retain good superiority solutions by lower handing out times in ...
Jun 6, 2024 · Metaheuristic approaches have been remarkably known for solving complex problems, optimal solutions, and lesser computational complexity ...
Missing: Blockmodel | Show results with:Blockmodel
Oct 22, 2024 · We propose the use of metaheuristics for the resource-capacitated multilevel lot-sizing problem with general product structures, ...
Jun 15, 2022 · In this paper, a new stochastic optimization algorithm is introduced, called Driving Training-Based Optimization (DTBO), which mimics the human activity of ...
Metaheuristics are used to find good-enough solutions for an optimization problem. Metaheuristics are simpler to design and implement.