Results 61 to 70 of about 1,200,755 (251)
An Investigation of Hybrid Framework for Dynamic Multi Objective Problems
Multi-objective evolutionary algorithms and selection hyper-heuristics are adaptive methods that can handle different types of dynamism which may occur in the environment.
Berna KİRAZ
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HyperDE: An Adaptive Hyper-Heuristic for Global Optimization
In this paper, a novel global optimization approach in the form of an adaptive hyper-heuristic, namely HyperDE, is proposed. As the naming suggests, the method is based on the Differential Evolution (DE) heuristic, which is a well-established ...
Alexandru-Razvan Manescu +1 more
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Recent advances in selection hyper-heuristics
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John H. Drake +3 more
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ABSTRACT Irritability is a prevalent and impairing feature associated with autism, yet remains poorly understood, particularly in adults. Drawing heavily on insights translated from pediatric and transdiagnostic literatures, we propose that irritability in autistic individuals often reflects a psychophysiological stress or threat response, rooted in a ...
Hsiang‐Yuan Lin +3 more
wiley +1 more source
Exploring hyper-heuristic methodologies with genetic programming
Hyper-heuristics represent a novel search methodology that is motivated by the goal of automating the process of selecting or combining simpler heuristics in order to solve hard computational search problems.
Kendall, Graham +11 more
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An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning [PDF]
A variety of meta-heuristic search algorithms have been introduced for optimising software release planning. However, there has been no comprehensive empirical study of different search algorithms across multiple different real-world datasets.
Yuanyuan Zhang +11 more
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Tetrazine Ligation in Living Systems: Beyond Fast Kinetics to Effective Bioorthogonality
Rapid reaction kinetics (k2) alone do not ensure successful tetrazine ligation in living systems. This review introduces ‘effective orthogonality’—focusing on chemical survival, availability, and encounter—as a practical framework. We highlight how bottlenecks shift from cellular sinks to in vivo delivery limits, offering design strategies for reliable
Junhyeong Yim +3 more
wiley +1 more source
Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling
Examination Timetabling Problem is one of the optimization and combinatorial problems. It is proved to be a non-deterministic polynomial (NP)-hard problem.
Gabriella Icasia +2 more
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A Sequence-Based Hyper-Heuristic for Traveling Thieves
A plethora of combinatorial optimization problems can be linked to real-life decision scenarios. Even nowadays, more diverse and complex problems are popping up. One of these problems is the traveling thief problem (TTP), which combines elements from the
Daniel Rodríguez +3 more
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Abstract Our knowledge of the immune system continues to expand at a rapid pace, and this coupled with technological advances now enables us to interrogate both the breadth and the depth of the immune response at levels without precedent. This has also facilitated rapidly integrating some of this carefully vetted knowledge into clinical practice ...
Aaruni Khanolkar, Aisha Ahmed
wiley +1 more source

