A comprehensive review of the fireworks algorithm
The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
A novel multiobjective fireworks algorithm and its applications to imbalanced distance minimization problems
Recently, multimodal multiobjective optimization problems (MMOPs) have received
increasing attention. Their goal is to find a Pareto front and as many equivalent Pareto …
increasing attention. Their goal is to find a Pareto front and as many equivalent Pareto …
The bare bones fireworks algorithm: A minimalist global optimizer
The fireworks algorithm is a newly proposed swarm algorithm for global optimization, which
adopts a novel manner of search called explosion. In this paper, we introduce a simplified …
adopts a novel manner of search called explosion. In this paper, we introduce a simplified …
A multi-objective chicken swarm optimization algorithm based on dual external archive with various elites
Z Wang, W Zhang, Y Guo, M Han, B Wan… - Applied Soft Computing, 2023 - Elsevier
Multi-objective optimization problems (MOPs) that widely exist in real world concern all
optimal solutions compromised among multiple objectives. Chicken swarm optimization …
optimal solutions compromised among multiple objectives. Chicken swarm optimization …
A cooperative framework for fireworks algorithm
This paper presents a cooperative framework for fireworks algorithm (CoFFWA). A detailed
analysis of existing fireworks algorithm (FWA) and its recently developed variants has …
analysis of existing fireworks algorithm (FWA) and its recently developed variants has …
Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures
M Laszczyk, PB Myszkowski - Swarm and Evolutionary Computation, 2019 - Elsevier
In recent years interest in multiobjective optimization has flourished. Many Quality Measures
(QM) have been developed to allow comparison of results gained by many methods …
(QM) have been developed to allow comparison of results gained by many methods …
Heterogeneous multi-project multi-task allocation in mobile crowdsensing using an ensemble fireworks algorithm
X Shen, D Xu, L Song, Y Zhang - Applied Soft Computing, 2023 - Elsevier
With the development of Internet of Things (IoT), Mobile CrowdSensing (MCS) platform will
release projects consisting of heterogeneous tasks, requiring participants with different skills …
release projects consisting of heterogeneous tasks, requiring participants with different skills …
Stock ranking with multi-task learning
T Ma, Y Tan - Expert Systems with Applications, 2022 - Elsevier
Stock prediction, aiming at predicting the future trends of stocks, plays a key role in stock
investment. Towards the investment target, the primary task is selecting the stocks with …
investment. Towards the investment target, the primary task is selecting the stocks with …
Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm
X Meng, Y Tan - Swarm and Evolutionary Computation, 2024 - Elsevier
Many real-world problems can be abstracted as multimodal global optimization, which is
one of the main challenges for optimization algorithms due to its complexity. The fireworks …
one of the main challenges for optimization algorithms due to its complexity. The fireworks …
NSCSO: a novel multi-objective non-dominated sorting chicken swarm optimization algorithm
H Huang, B Zheng, X Wei, Y Zhou, Y Zhang - Scientific Reports, 2024 - nature.com
Addressing the challenge of efficiently solving multi-objective optimization problems (MOP)
and attaining satisfactory optimal solutions has always posed a formidable task. In this …
and attaining satisfactory optimal solutions has always posed a formidable task. In this …