A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

This study presents the first attempt to link the multi-algorithm genetically adaptive search
method (AMALGAM) with a groundwater model to define pumping rates within a well …

Problems of water resource systems entail many inherent objectives from cost-related to
environmental issues, which are usually in conflict and should be addressed simultaneously …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In large-scale agriculture, insufficient irrigation water may lead to overpumping of
groundwater, increasing the risk of land subsidence. Growing dryland crops can effectively …

Many real-world search and optimization problems are naturally posed as non-linear
programming problems having multiple conflicting objectives. Due to lack of suitable …

The design of wireless sensor networks (WSNs) in the Internet of Things (IoT) faces many
new challenges that must be addressed through an optimization of multiple design …

In this paper the authors propose a global–local methodology for optimizing the short-term
operation of hydroelectric plants. The authors determine the tradeoffs between minimizing …

This is the first attempt to combine the Multiobjective Billiards‐Inspired Optimization
Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well …

Integrated assessment and management of water resources for the supply of potable water
is increasingly important in light of projected water scarcity in many parts of the world. This …