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[HTML][HTML] Recent advances in selection hyper-heuristics
Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …
for computational search problems. This is in contrast to many approaches, which represent …
A depth-based heuristic to solve the multi-objective influence spread problem using particle swarm optimization
The influence spread in a social network is an iterative process that can take several steps. It
begins with an activation seed and finishes when the current activation cannot influence …
begins with an activation seed and finishes when the current activation cannot influence …
[PDF][PDF] Population-based local search algorithms forcross-domain search Alanlar-arası arama için popülasyona dayalı yerel arama algoritmaları
Öz Population-based local search is a meta-heuristic algorithm combining the principles of
the population-based search and the local search. This study presents an extensive …
the population-based search and the local search. This study presents an extensive …