A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
JLJ Pereira, GA Oliver, MB Francisco… - … Methods in Engineering, 2022 - Springer
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
Golden eagle optimizer: A nature-inspired metaheuristic algorithm
This paper proposes a nature-inspired swarm-based metaheuristic for solving global
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …
An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems
This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …
Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem
This study investigates the optimization of non-permutation flow-shop scheduling problems
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …
and lot-sizing simultaneously. Contrary to previous works, we first study the energy …
An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
W Zhao, Z Zhang, S Mirjalili, L Wang… - Computer Methods in …, 2022 - Elsevier
Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …
it shows superior performance in handling single-objective optimization problems. Despite …
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …
not been investigated in the literatures comparing with single-objective RBDO. This work …
[HTML][HTML] Grasshopper optimization algorithm for multi-objective optimization problems
This work proposes a new multi-objective algorithm inspired from the navigation of grass
hopper swarms in nature. A mathematical model is first employed to model the interaction of …
hopper swarms in nature. A mathematical model is first employed to model the interaction of …
MOSMA: Multi-objective slime mould algorithm based on elitist non-dominated sorting
This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …
A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations
In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …