Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm
During the past decade, solving complex optimization problems with metaheuristic
algorithms has received considerable attention among practitioners and researchers …
algorithms has received considerable attention among practitioners and researchers …
A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem
Abstract The Multi-satellite Tracking Telemetry and Command (TT&C) Scheduling, a multi-
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …
constrained and high-conflict complex combinatorial optimization problem, is a typical NP …
Solving travelling salesman problem using black hole algorithm
A Hatamlou - Soft Computing, 2018 - Springer
Over the last few decades, many nature-inspired algorithms have been proposed for solving
complex and difficult problems. Each algorithm has its own merits and drawbacks. One of …
complex and difficult problems. Each algorithm has its own merits and drawbacks. One of …
Set-based discrete particle swarm optimization based on decomposition for permutation-based multiobjective combinatorial optimization problems
This paper studies a specific class of multiobjective combinatorial optimization problems
(MOCOPs), namely the permutation-based MOCOPs. Many commonly seen MOCOPs, eg …
(MOCOPs), namely the permutation-based MOCOPs. Many commonly seen MOCOPs, eg …
Traveling-salesman-problem algorithm based on simulated annealing and gene-expression programming
AH Zhou, LP Zhu, B Hu, S Deng, Y Song, H Qiu, S Pan - Information, 2018 - mdpi.com
The traveling-salesman problem can be regarded as an NP-hard problem. To better solve
the best solution, many heuristic algorithms, such as simulated annealing, ant-colony …
the best solution, many heuristic algorithms, such as simulated annealing, ant-colony …
Hybrid slime mold and arithmetic optimization algorithm with random center learning and restart mutation
H Chen, Z Wang, H Jia, X Zhou, L Abualigah - Biomimetics, 2023 - mdpi.com
The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two
novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a …
novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a …
A two-phase ant colony optimization based approach for single depot multiple travelling salesman problem in Type-2 fuzzy environment
C Changdar, M Mondal, PK Giri, U Nandi… - Artificial Intelligence …, 2023 - Springer
In this paper, a two-phase ant colony optimization (ACO) based approach has been
presented to solve a single depot multiple travelling salesmen problem (mTSP) in Type-2 …
presented to solve a single depot multiple travelling salesmen problem (mTSP) in Type-2 …
Cost-effective synthesis of QCA logic circuit using genetic algorithm
Quantum-dot cellular automata (QCA) is a field coupling nano-technology that has drawn
significant attention for its low power consumption, low area overhead, and achieving a high …
significant attention for its low power consumption, low area overhead, and achieving a high …
Discrete komodo algorithm for traveling salesman problem
This work presents a Discrete Komodo Algorithm (DKA) to solve the traveling salesman
problem (TSP). Inspired by the Komodo Mlipir Algorithm, a swarm intelligence algorithm …
problem (TSP). Inspired by the Komodo Mlipir Algorithm, a swarm intelligence algorithm …
Multi-objective traveling salesman problem: an ABC approach
Using the concept of swap operation and swap sequence on the sequence of paths of a
Traveling Salesman Problem (TSP) Artificial Bee Colony (ABC) algorithm is modified to …
Traveling Salesman Problem (TSP) Artificial Bee Colony (ABC) algorithm is modified to …