Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

Multi-objective approaches for the open-pit mining operational planning problem

This work presents three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The algorithms were applied to the open-pit-mining operational planning problem with dynamic truck allocation (OPMOP). Approximations to Pareto sets generated by t...

Scheduling Tools for Open-Pit Mining Operations

In open-pit mining operations, there are several levels of planning, each of which passes down restrictions to the level below. Each planning task is to determine the order in which material should be mined and how it should be processed, such that blending and utilisation targets are met. The mining operations are subject to various constraints on equipment use, maintenance and other resources...

Evolutionary algorithms for the multi-objective test data generation problem

Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the oracle cost, which is the cost of executing the entire test suite and the cost of checking the system behavior. Indeed, in very large software systems, the cost spent to test t...

Solving the Economic Load Dispatch Problem Considering Units with Different Fuels Using Evolutionary Algorithms

Nowadays, economic load dispatch between generation units with least cost involved is one of the most important issues in utilizing power systems. In this paper, a new method i.e. Water Cycle Algorithm (WCA) which is similar to other intelligent algorithm and is based on swarm, is employed in order to solve the economic load dispatch problem between power plants. In order to investigate the eff...

Multi-Objective Evolutionary Algorithms