A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …
Knapsack problems—An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems
After the seminal books by Martello and Toth (1990) and Kellerer, Pferschy, and Pisinger
(2004), knapsack problems became a classical and rich research area in combinatorial …
(2004), knapsack problems became a classical and rich research area in combinatorial …
Monarch butterfly optimization: a comprehensive review
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
N Khodadadi, F Soleimanian Gharehchopogh… - Neural Computing and …, 2022 - Springer
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …
objective discrete optimization problems (MODOPs). The relevant literature source and their …
A guided population archive whale optimization algorithm for solving multiobjective optimization problems
This paper proposes a new multiobjective algorithm by extending the recently Whale
Optimization Algorithm (WOA) to solve multiobjective optimization problems. Our algorithm …
Optimization Algorithm (WOA) to solve multiobjective optimization problems. Our algorithm …
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection
J Chen, X Qi, L Chen, F Chen, G Cheng - Knowledge-Based Systems, 2020 - Elsevier
Intrusion detection maintains network security by detecting intrusion behaviors. There are
many clustering algorithms that can be used directly for intrusion detection. K-means is a …
many clustering algorithms that can be used directly for intrusion detection. K-means is a …
Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems
This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …
engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed …
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
One of the major challenges and difficulties to generate optimal operation rule for dam and
reservoir operation are how efficient the optimization algorithm to search for the global …
reservoir operation are how efficient the optimization algorithm to search for the global …
Solving non-linear fixed-charge transportation problems using nature inspired non-linear particle swarm optimization algorithm
D Rani - Applied Soft Computing, 2023 - Elsevier
The main objective of this study is to formulate and solve the model of non-linear fixed-
charge transportation problem (NFCTP), which is one of the NP-hard problems. This type of …
charge transportation problem (NFCTP), which is one of the NP-hard problems. This type of …