A comprehensive review of firefly algorithms
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …
has been applied in almost all areas of optimization, as well as engineering practice. Many …
Metaheuristics in large-scale global continues optimization: A survey
Metaheuristic algorithms are extensively recognized as effective approaches for solving high-
dimensional optimization problems. These algorithms provide effective tools with important …
dimensional optimization problems. These algorithms provide effective tools with important …
Memetic algorithms and memetic computing optimization: A literature review
Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …
such as the combination of simple agents and memes, whose evolutionary interactions lead …
Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
F Kang, J Li, Z Ma - Information Sciences, 2011 - Elsevier
A Rosenbrock artificial bee colony algorithm (RABC) that combines Rosenbrock's rotational
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …
A hybrid bat algorithm
Swarm intelligence is a very powerful technique to be used for optimization purposes. In this
paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat …
paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat …
Local measures of information storage in complex distributed computation
Information storage is a key component of intrinsic distributed computation. Despite the
existence of appropriate measures for it (eg excess entropy), its role in interacting with …
existence of appropriate measures for it (eg excess entropy), its role in interacting with …
Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them
Replicating and comparing computational experiments in applied evolutionary computing
may sound like a trivial task. Unfortunately, it is not so. Namely, many papers do not …
may sound like a trivial task. Unfortunately, it is not so. Namely, many papers do not …
A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms
N Veček, M Mernik, M Črepinšek - Information Sciences, 2014 - Elsevier
Abstract The Null Hypothesis Significance Testing (NHST) is of utmost importance for
comparing evolutionary algorithms as the performance of one algorithm over another can be …
comparing evolutionary algorithms as the performance of one algorithm over another can be …
Fatigue properties and SN curve estimating of 316L stainless steel prepared by SLM
F Zeng, Y Yang, G Qian - International Journal of Fatigue, 2022 - Elsevier
This paper investigates the fatigue properties of 316L stainless steel manufactured by
selective laser melting technology (SLM) under hot-isostatic-pressing (HIP) heat-treatment …
selective laser melting technology (SLM) under hot-isostatic-pressing (HIP) heat-treatment …