A survey of repair methods used as constraint handling techniques in evolutionary algorithms

S Salcedo-Sanz - Computer science review, 2009 - Elsevier
This paper provides a survey of the most important repair heuristics used in evolutionary
algorithms to solve constrained optimization problems. Popular techniques are reviewed …

Evolutionary computing in manufacturing industry: an overview of recent applications

V Oduguwa, A Tiwari, R Roy - Applied Soft Computing, 2005 - Elsevier
Traditional methods often employed to solve complex real world problems tend to inhibit
elaborate exploration of the search space. They can be expensive and often results in sub …

Path planning in construction sites: performance evaluation of the Dijkstra, A∗, and GA search algorithms

AR Soltani, H Tawfik, JY Goulermas… - Advanced engineering …, 2002 - Elsevier
This paper presents the application of path planning in construction sites according to
multiple objectives. It quantitatively evaluates the performance of three optimisation …

Hybrid genetic algorithm for multi-time period production/distribution planning

M Gen, A Syarif - Computers & Industrial Engineering, 2005 - Elsevier
In this paper, we deal with a production/distribution problem to determine an efficient
integration of production, distribution and inventory system so that products are produced …

Open pit mine production schedule optimization using a hybrid of maximum-flow and genetic algorithms

A Paithankar, S Chatterjee - Applied Soft Computing, 2019 - Elsevier
Production scheduling is a critical activity for the long-term production planning of open pit
mining operations. It deals with the effective management of resources and maximizes cash …

Simultaneous stochastic optimization of production sequence and dynamic cut-off grades in an open pit mining operation

A Paithankar, S Chatterjee, R Goodfellow, MWA Asad - Resources Policy, 2020 - Elsevier
An open pit mining operation is a complex system that constitutes several components or
processes. An optimal production sequence that defines timing of extraction and a dynamic …

Hybrid genetic algorithm with adaptive abilities for resource-constrained multiple project scheduling

KW Kim, YS Yun, JM Yoon, M Gen, G Yamazaki - Computers in industry, 2005 - Elsevier
In this paper, we propose a hybrid genetic algorithm with fuzzy logic controller (flc-hGA) to
solve the resource-constrained multiple project scheduling problem (rc-mPSP) which is well …

Integrated multistage logistics network design by using hybrid evolutionary algorithm

L Lin, M Gen, X Wang - Computers & industrial engineering, 2009 - Elsevier
Design and optimization of logistics is very important issue, which plans, implements and
controls the efficient, effective forward and reverse flow and storage of goods, services and …

Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design

M Gen, L Lin, YS Yun, H Inoue - Computers & Industrial Engineering, 2018 - Elsevier
Abstract Design and optimization of logistics and supply chain management (SCM) network
is very important issue, which plans, implements and controls the efficient, effective forward …

Hybrid genetic algorithm with fuzzy logic for resource-constrained project scheduling

KW Kim, M Gen, G Yamazaki - Applied soft computing, 2003 - Elsevier
In this paper, we develop a hybrid genetic algorithm (hGA) with fuzzy logic controller (FLC)
to solve the resource-constrained project scheduling problem (rcPSP) which is a well-known …