An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Initialization of metaheuristics: comprehensive review, critical analysis, and research directions
Initialization of metaheuristics is a crucial topic that lacks a comprehensive and systematic
review of the state of the art. Providing such a review requires in‐depth study and …
review of the state of the art. Providing such a review requires in‐depth study and …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
A survey of advances in landscape analysis for optimisation
KM Malan - Algorithms, 2021 - mdpi.com
Fitness landscapes were proposed in 1932 as an abstract notion for understanding
biological evolution and were later used to explain evolutionary algorithm behaviour. The …
biological evolution and were later used to explain evolutionary algorithm behaviour. The …
Differential evolution with adaptive mutation strategy based on fitness landscape analysis
Z Tan, K Li, Y Wang - Information Sciences, 2021 - Elsevier
In recent years, many different differential evolution (DE) variants have been proposed to
solve real-world optimization problems. However, the performance of them is largely …
solve real-world optimization problems. However, the performance of them is largely …
Integrated scheduling optimization of U-shaped automated container terminal under loading and unloading mode
B Xu, D Jie, J Li, Y Yang, F Wen, H Song - Computers & Industrial …, 2021 - Elsevier
This paper proposes an integrated scheduling optimization model based on mixed integer
programming to analytically characterize the U-shaped automated container terminal layout …
programming to analytically characterize the U-shaped automated container terminal layout …
A survey of fitness landscape analysis for optimization
F Zou, D Chen, H Liu, S Cao, X Ji, Y Zhang - Neurocomputing, 2022 - Elsevier
Over past few decades, as a powerful analytical tool to characterize the fitness landscape of
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …
Feature extraction for recommendation of constrained multiobjective evolutionary algorithms
The evolutionary algorithm recommendation is catching increasing attention when solving
practical application problems since different algorithms often perform differently on different …
practical application problems since different algorithms often perform differently on different …
A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning
C Ntakolia, DK Iakovidis - Computers & Operations Research, 2021 - Elsevier
Personalized tourist route planning (TRP) and navigation are online or real-time
applications whose mathematical modeling leads to complex optimization problems. These …
applications whose mathematical modeling leads to complex optimization problems. These …
Adaptive local landscape feature vector for problem classification and algorithm selection
Fitness landscape analysis is a data-driven technique to study the relationship between
problem characteristics and algorithm performance by characterizing the landscape features …
problem characteristics and algorithm performance by characterizing the landscape features …