Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
Dragonfly algorithm and its hybrids: A survey on performance, objectives and applications
Swarm intelligence is a discipline which makes use of a number of agents for solving
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
[PDF][PDF] An Improved Gorilla Troops Optimizer Based on Lens Opposition-Based Learning and Adaptive β-Hill Climbing for Global Optimization.
Y ** operator for global optimization
M Oszust - Knowledge-Based Systems, 2021 - Elsevier
Abstract The recently introduced Marine Predators Algorithm (MPA) exhibits competitive
performance in solving optimization problems. However, it often prematurely converges due …
performance in solving optimization problems. However, it often prematurely converges due …
Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem
D Yang, M Wu, D Li, Y Xu, X Zhou, Z Yang - Knowledge-Based Systems, 2022 - Elsevier
Flexible job shop scheduling problem (FJSP) has attracted many research interests, in
particular for meta-heuristic algorithm (MA) developers due to the superior optimization …
particular for meta-heuristic algorithm (MA) developers due to the superior optimization …
Lotus effect optimization algorithm (LEA): a lotus nature-inspired algorithm for engineering design optimization
Here we introduce a new evolutionary algorithm called the Lotus Effect Algorithm, which
combines efficient operators from the dragonfly algorithm, such as the movement of …
combines efficient operators from the dragonfly algorithm, such as the movement of …
HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems
Optimization algorithms have made considerable advancements in solving complex
problems with the ability to be applied to innumerable real-world problems. Nevertheless …
problems with the ability to be applied to innumerable real-world problems. Nevertheless …
Land degradation risk map** using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed …
Land degradation (LD) is a complex process affected by both anthropogenic and natural
driving variables, and its prevention has become an essential task globally. The aim of the …
driving variables, and its prevention has become an essential task globally. The aim of the …
An enhanced binary dragonfly algorithm based on a V-shaped transfer function for optimization of pump scheduling program in water supply systems (case study of …
With the continual growth of population and shortage of energy resources, the optimal
consumption of these resources is of particular importance. One of these energy sources is …
consumption of these resources is of particular importance. One of these energy sources is …
MOORP: Metaheuristic based optimized opportunistic routing protocol for wireless sensor network
In recent years, WSNs are acquiring popularity due to small-sized and flexible
implementation; many applications require quick data transfer with minimal energy …
implementation; many applications require quick data transfer with minimal energy …