Constraint-handling in nature-inspired numerical optimization: past, present and future
In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …
A Review of Constraint‐Handling Techniques for Evolution Strategies
O Kramer - Applied Computational Intelligence and Soft …, 2010 - Wiley Online Library
Evolution strategies are successful global optimization methods. In many practical numerical
problems constraints are not explicitly given. Evolution strategies have to incorporate …
problems constraints are not explicitly given. Evolution strategies have to incorporate …
Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored
CA Coello Coello - Frontiers of Computer Science in China, 2009 - Springer
This paper provides a short review of some of the main topics in which the current research
in evolutionary multi-objective optimization is being focused. The topics discussed include …
in evolutionary multi-objective optimization is being focused. The topics discussed include …
Interior search algorithm (ISA): a novel approach for global optimization
AH Gandomi - ISA transactions, 2014 - Elsevier
This paper presents the interior search algorithm (ISA) as a novel method for solving
optimization tasks. The proposed ISA is inspired by interior design and decoration. The …
optimization tasks. The proposed ISA is inspired by interior design and decoration. The …
Infeasibility driven evolutionary algorithm for constrained optimization
Real life optimization problems often involve one or more constraints and in most cases, the
optimal solutions to such problems lie on constraint boundaries. The performance of an …
optimal solutions to such problems lie on constraint boundaries. The performance of an …
[HTML][HTML] Optimization of fused deposition modelling (FDM) process parameters using bacterial foraging technique
Fused deposition modelling (FDM) is a fast growing rapid prototy** (RP) technology due
to its ability to build functional parts having complex geometrical shapes in reasonable build …
to its ability to build functional parts having complex geometrical shapes in reasonable build …
An efficient derivative-free optimization algorithm inspired by avian life-saving manoeuvres
M Shahrouzi, A Kaveh - Journal of Computational Science, 2022 - Elsevier
A novel meta-heuristic algorithm is introduced that is inspired by aerial esca** strategies
of a bird to avoid being captured by the hunter. The esca** bird chooses its life-saving …
of a bird to avoid being captured by the hunter. The esca** bird chooses its life-saving …
Differential evolution in constrained numerical optimization: an empirical study
E Mezura-Montes, ME Miranda-Varela… - Information …, 2010 - Elsevier
Motivated by the recent success of diverse approaches based on differential evolution (DE)
to solve constrained numerical optimization problems, in this paper, the performance of this …
to solve constrained numerical optimization problems, in this paper, the performance of this …
An enhanced NSGA-II for solving berth allocation and quay crane assignment problem with stochastic arrival times
B Ji, H Huang, SY Samson - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
The berth allocation and quay crane assignment problem (BACAP) is an important port
operation planning problem. To obtain an effective and reliable schedule of berth and quay …
operation planning problem. To obtain an effective and reliable schedule of berth and quay …
Co-design of an unmanned cable shovel for structural and control integrated optimization: A highly heterogeneous constrained multi-objective optimization algorithm
Unmanned cable shovel is an intelligence-based large machine used for excavating in open-
pit coal mines, with significant implications for the security and development of energy …
pit coal mines, with significant implications for the security and development of energy …