All Outputs (11)

A benchmark dataset for multi-objective flexible job shop cell scheduling (2023)
Journal Article

This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent fa... Read More about A benchmark dataset for multi-objective flexible job shop cell scheduling.

Ensemble strategy using particle swarm optimisation variant and enhanced local search capability (2023)
Journal Article

Particle swarm optimisation is a population-based algorithm for evolutionary computation. A notable recent research direction has been to combine different effective mechanisms to enhance both exploration and exploitation capabilities while employing... Read More about Ensemble strategy using particle swarm optimisation variant and enhanced local search capability.

A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization (2023)
Journal Article

Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-param... Read More about A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization.

An adaptive greedy heuristic for large scale airline crew pairing problems (2023)
Journal Article

A crew pairing represents a sequence of flight legs that constitute a crew work allocation, starting and ending at the same crew base. A complete set of crew pairings covers all flight legs in the timetable of an airline for a given planning horizon.... Read More about An adaptive greedy heuristic for large scale airline crew pairing problems.

ML meets MLn: machine learning in ligand promoted homogeneous catalysis (2023)
Journal Article

The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised. We focus on the understanding and implementation of key concepts, which serve as condu... Read More about ML meets MLn: machine learning in ligand promoted homogeneous catalysis.

Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies (2023)
Journal Article

When designing passive sound-attenuation structures, one of the challenging problems that arise is optimally distributing acoustic porous materials within a design region so as to maximise sound absorption while minimising material usage. To identify... Read More about Multi-objective topology optimisation for acoustic porous materials using gradient-based, gradient-free, and hybrid strategies.

Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation (2023)
Journal Article

Automatic Fibre Placement manufacturing processes have become the aerospace industry standard for the production of large-scale composite components. Besides the challenges linked with the manufacturing of such components, their design process is als... Read More about Layup time for an Automated Fibre Placement process in the framework of a detailed sizing optimisation.

An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem (2023)
Journal Article

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully been applied to many complex problems over the past decades. However, their performances often vary depending on the choice of the initial settings for thei... Read More about An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem.

An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase (2023)
Journal Article

Over the past two decades, to overcome the limitations of certain algorithms, ensemble strategies or self-adaptive mechanisms for evolutionary computation algorithms have been proposed. Regardless of how these strategies or mechanisms were designed,... Read More about An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase.

A generality analysis of multiobjective hyper-heuristics (2023)
Journal Article

Selection hyper-heuristics have emerged as high level general-purpose search methodologies that mix and control a set of low-level (meta) heuristics. Previous empirical studies over a range of single objective optimisation problems have shown that th... Read More about A generality analysis of multiobjective hyper-heuristics.

Stacking sequence optimisation of an aircraft wing skin (2023)
Journal Article

This paper demonstrates a stacking sequence optimisation process of a composite aircraft wing skin. A two-stage approach is employed to satisfy all sizing requirements of this industrial sized, medium altitude, long endurance drone. In the first stag... Read More about Stacking sequence optimisation of an aircraft wing skin.