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 …
algorithms to solve constrained optimization problems. Popular techniques are reviewed …
Evolutionary computing in manufacturing industry: an overview of recent applications
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 …
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 …
multiple objectives. It quantitatively evaluates the performance of three optimisation …
Hybrid genetic algorithm for multi-time period production/distribution planning
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 …
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 …
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
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 …
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
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 …
solve the resource-constrained multiple project scheduling problem (rc-mPSP) which is well …
Integrated multistage logistics network design by using hybrid evolutionary algorithm
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 …
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
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 …
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 …
to solve the resource-constrained project scheduling problem (rcPSP) which is a well-known …