Bi-objective problem; Hydrothermal scheduling; Economic dispatch; Emission dispatch; Combined economic emission dispatch Abstract The short-term combined economic emission hydrothermal scheduling is a bi-objective problem minimizing both fuel cost and emission of a hydrothermal system while satisfying thermal, hydro and system constraints. In this paper, an efficient cuckoo bird-inspired meta-h...

In this paper demonstrate MobiContext, a hybrid cloud-based Bi-Objective Recommendation Framework(BORF).The MobiContext utilizes multi-objective optimization techniques to create modified recommendations.To address the issues pertaining to cold start and datasparse,the BORF performs data preprocessing by using the Hub-Average(HA) inference method and the Weighted Sum Approachis implemented for ...

The objective of this paper is the development and solution of nonlinear and mixed-integer (MIP) optimization models for real-world planning and scheduling problems in petroleum refineries. Firstly, we present a nonlinear planning model that represents a general refinery topology and allows implementation of nonlinear process models as well as blending relations. The optimization model is able ...

This paper is concerned with the bi-objective problem in searchbased software engineering for high-level decision-making. The paper presents bi-objective models for next release problem and modularization quality problem that characterized by the presence of two conflicting demands, for which the decision maker must find a suitable balance. The complex nature of such kind of problem has motivat...

in this paper, we present an application of intuitionistic fuzzyprogramming to a two person bi-matrix game (pair of payoffs matrices) for thesolution with mixed strategies using linear membership and non-membershipfunctions. we also introduce the intuitionistic fuzzy(if) goal for a choiceof a strategy in a payoff matrix in order to incorporate ambiguity of humanjudgements; a player wants to max...

This work studies the solution space topology of the Traveling Salesman Problem or TSP, as a bi-objective optimization problem. The concepts of category and range of a solution are introduced for the first time in this analysis. These concepts relate each solution of a population to a Pareto set, presenting a more rigorous theoretical framework than previous works studying global convexity for ...

The various meta-heuristic techniques for cloud and grid environment are: Ant Colony Optimization (ACO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search, Firefly Algorithm, BAT Algorithm and many more. So this paper represents the two types of meta-heuristic techniques, i.e. BAT algorithm and Genetic Algorithm. The different types of methods which comprise meta-heuristic ...

This paper studies charging scheduling problem of electric vehicles (EVs) in the scale of a microgrid (e.g., a university or town) where a set of charging stations are controlled by a central aggregator. A bi-objective optimization problem is formulated to jointly optimize total charging cost and user convenience. Then, a close-to-optimal online scheduling algorithm is proposed as solution. The...

This paper develops a bi-directional prediction approach to predict the production parameters and performance of differential fibers based on neural networks and a multi-objective evolutionary algorithm. The proposed method does not require accurate description and calculation for the multiple processes, different modes and complex conditions of fiber production. The bi-directional prediction a...

This paper presents a simple bi-level multi-objective linear program (BLMOLP) with a hierarchical structure consisting of reservoir managers and several water use sectors under a multi-objective framework for the optimal allocation of limited water resources. Being the upper level decision makers (i.e., leader) in the hierarchy, the reservoir managers control the water allocation system and ten...