A survey of semantic methods in genetic programming

L Vanneschi, M Castelli, S Silva - Genetic Programming and Evolvable …, 2014 - Springer
Several methods to incorporate semantic awareness in genetic programming have been
proposed in the last few years. These methods cover fundamental parts of the evolutionary …

Optimization of the carpool service problem via a fuzzy-controlled genetic algorithm

SC Huang, MK Jiau, CH Lin - IEEE Transactions on Fuzzy …, 2014 - ieeexplore.ieee.org
Carpooling is a means of vehicle sharing by which drivers share their cars with one or more
riders whose travel itineraries are similar to their own. As such, carpooling can be an …

Promoting phenotypic diversity in genetic programming

D Jackson - International Conference on Parallel Problem Solving …, 2010 - Springer
Population diversity is generally seen as playing a crucial role in the ability of evolutionary
computation techniques to discover solutions. In genetic programming, diversity metrics are …

Exact and heuristic methods for optimizing lock-quay system in inland waterway

B Ji, X Yuan, Y Yuan, X Lei, T Fernando… - European Journal of …, 2019 - Elsevier
This paper focuses on lock and quay co-scheduling problem (LQCP) so that delay time of
ships at a lock and time spent at the quay are minimized. The task can be regarded as a …

Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms

M Fyvie, JAW McCall, LA Christie - International Conference on Innovative …, 2021 - Springer
The generation of explanations regarding decisions made by population-based meta-
heuristics is often a difficult task due to the nature of the mechanisms employed by these …

Towards explainable metaheuristics: Feature extraction from trajectory mining

M Fyvie, JAW McCall, LA Christie… - Expert …, 2025 - Wiley Online Library
Explaining the decisions made by population‐based metaheuristics can often be considered
difficult due to the stochastic nature of the mechanisms employed by these optimisation …

Phenotypic diversity in initial genetic programming populations

D Jackson - European Conference on Genetic Programming, 2010 - Springer
A key factor in the success or otherwise of a genetic programming population in evolving
towards a solution is the extent of diversity amongst its members. Diversity may be viewed in …

Grammatically uniform population initialization for grammar-guided genetic programming

P Ramos Criado, D Barrios Rolanía, D Manrique… - Soft Computing, 2020 - Springer
The initial population distribution is an essential issue in evolutionary computation
performance. Population initialization methods for grammar-guided genetic programming …

Fitness approximation for bot evolution in genetic programming: Lessons learned from the UT2004™ computer game

AI Esparcia-Alcázar, J Moravec - Soft Computing, 2013 - Springer
Estimating the fitness value of individuals in an evolutionary algorithm in order to reduce the
computational expense of actually calculating the fitness has been a classical pursuit of …

[PDF][PDF] Examining semantic diversity and semantic locality of operators in genetic programming

QU Nguyen, M O'Neill, XH Nguyen - 2011 - ncra.ucd.ie
Diversity, the ability of a searcher to explore different parts of the search space, and locality,
the ability of a searcher to exploit a specific area of the search space, have long been seen …